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DTSTART;TZID=America/Los_Angeles:20230403T120000
DTEND;TZID=America/Los_Angeles:20230403T130000
DTSTAMP:20260618T035039
CREATED:20230315T230735Z
LAST-MODIFIED:20230315T230735Z
UID:35645-1680523200-1680526800@wca.org
SUMMARY:50th Anniversary of the First Portable Cell Call
DESCRIPTION:Edge‑AI for the Next Generation of Connected Systems						\n												\n						 The Technologies Shaping Tomorrow’s Intelligent Edge Ecosystem						\n											\n						\n					\n					\n\n\n	\nEdge AI is changing how devices sense\, think\, and act in real time. Today\, it helps systems work faster\, smarter\, and with less human support. As a result\, IoT\, industrial\, and smart infrastructure networks can do more at the edge. They can also save energy\, reduce downtime\, and respond faster to change. \nThis World of Connected AI (WCA) roundtable brings four technology leaders together. They will explore how key technologies support smarter edge systems.These include wireless power\, shared energy intelligence\, long range connectivity\, and AI driven sensing. Together\, these tools create systems that can run with greater freedom and scale.They also help build cleaner\, stronger\, and more reliable digital infrastructure. \nHow Does Wireless Power Help Edge AI Grow?\nWireless power removes many limits linked to standard batteries. Because of this\, edge devices can keep sensing without frequent battery changes. They can also work longer and deliver steady performance. This reduces service visits and lowers the cost of large device networks. \nIn addition\, wireless power supports sensors in hard to reach places. So\, teams can place devices where data matters most.This gives Edge AI systems more reach\, better uptime\, and stronger field performance. \nEdge AI and Smarter Energy Management\nDecentralized energy systems are changing how microgrids work.I nstead of relying on one main controller\, assets can share decisions. Solar panels\, storage units\, and EV chargers can adapt as conditions change. As a result\, energy networks become more flexible and more resilient. \nEdge AI adds value by helping these assets act in real time. It can track demand\, balance supply\, and support cleaner energy use. Therefore\, microgrids can respond faster while using resources more wisely. \nLong Range Connectivity Expands Edge AI Networks\nLong range\, low power wireless networks help Edge AI scale across wide areas. These networks support thousands of connected devices without heavy energy use. They also improve coverage for cities\, factories\, farms\, and remote sites. For example\, sub GHz IoT connectivity can link devices across large spaces. It gives teams reliable data without complex wiring or high power needs. As a result\, organizations can build larger and smarter edge networks. \nAI Driven Sensing Turns Data Into Action\nSmart sensing platforms help turn raw data into useful insight. They can detect changes\, spot risks\, and guide faster decisions. Because of this\, teams gain clearer visibility across daily operations. These systems also support logistics\, safety\, and industrial work. They can automate tasks\, improve alerts\, and reduce response times. Meanwhile\, real time analytics help people act before small issues grow. \nEdge AI Builds Resilient and Scalable Infrastructure\nTogether\, these technologies move Edge AI from idea to real deployment. They support systems that can adapt\, save energy\, and operate with less support. They also help industries build stronger networks for the future. Attendees will learn about new architectures and cross industry use cases. They will also see how collaboration can speed the next wave of edge innovation. With the right ecosystem\, Edge AI can power smarter\, cleaner\, and more independent systems. \n\n\n\n\n	\nHow Edge AI Is Powering Smarter\, Self-Sufficient IoT Ecosystems\nEdge AI is reshaping how devices sense\, process\, and act in real time. As a result\, it unlocks new levels of intelligence\, efficiency\, and autonomy across IoT\, industrial\, and smart infrastructure environments. This WCA roundtable brings together four technology leaders\, Energous\, Heila\, Newracom\, and Sensitel with SenseAI\, to examine how wireless power\, distributed energy intelligence\, long range connectivity\, and AI driven sensing combine to create a new generation of self powered\, resilient\, and scalable edge systems. \nWireless Power Networks Eliminate Battery Limits\nEnergous leads the discussion by presenting advances in wireless power networks. These networks remove battery limitations and support continuous sensing at the edge. Consequently\, devices can operate longer\, maintain consistent performance\, and reduce the maintenance burden that traditional battery powered systems create. \nDecentralized Energy Management Reshapes Microgrids\nHeila then demonstrates how autonomous and decentralized energy management transforms microgrids and distributed energy resources. Solar\, storage\, and EV assets work together and adapt without relying on a central controller. In turn\, this approach gives Edge AI systems the flexibility to respond to changing energy conditions in real time. \nLong Range Connectivity Strengthens Edge AI Architectures\nNewracom explains how Wi Fi HaLow delivers long range\, low power connectivity. This capability proves essential for large scale IoT deployments and forms a strong foundation for robust Edge AI architectures. Moreover\, it allows organizations to connect thousands of devices across wide areas without sacrificing power efficiency. \nIntelligent Sensing Brings Context to Raw Data\nSensitel\, powered by SenseAI\, rounds out the panel by showing how intelligent sensing\, workflow automation\, and real time analytics bring contextual awareness to the edge. As a result\, raw sensor data becomes actionable insight that supports operations\, logistics\, and safety across industries. \nWhat Attendees Will Gain\nTogether\, these four perspectives show how Edge AI moves from concept to real world deployment. The result is a class of systems that adapts more readily\, operates more sustainably\, and functions independently at scale. Attendees leave with a clear view of emerging architectures\, cross industry use cases\, and the collaborative ecosystem needed to drive the next wave of intelligent edge innovation. \n\n\n\n\n		\n	\n\n\n\n		\n	\n\n\n\n		\n	\n\n\n\n		\n	\n\n\n\n	About Sensors Converge\nSensors Converge is North America’s leading event for sensing\, processing\, connectivity\, power\, and edge AI innovation. \nDiscover more than 200 exhibitors and thousands of technologies across 50 product categories.\nHear directly from experts shaping the next generation of intelligent systems. \nProfessionals building IoT\, edge AI\, embedded systems\, or connected devices will find valuable insights and partners.\nThis is where breakthrough ideas move from concept to real-world deployment. \nJoin the engineering and technology community driving the future of connected innovation.
URL:https://wca.org/event/the-50th-anniversary-of-the-first-portable-cell-call-a-golden-celebration-2/
CATEGORIES:WCA Center Stage
ATTACH;FMTTYPE=image/png:https://wca.org/wp-content/uploads/2023/01/Thumb_50y_celebrateThe-call.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20230309T120000
DTEND;TZID=America/Los_Angeles:20230309T130000
DTSTAMP:20260618T035039
CREATED:20230124T020047Z
LAST-MODIFIED:20230124T020047Z
UID:35644-1678363200-1678366800@wca.org
SUMMARY:Mobile World Congress 2023 - a Recap
DESCRIPTION:Edge‑AI for the Next Generation of Connected Systems						\n												\n						 The Technologies Shaping Tomorrow’s Intelligent Edge Ecosystem						\n											\n						\n					\n					\n\n\n	\nEdge AI is changing how devices sense\, think\, and act in real time. Today\, it helps systems work faster\, smarter\, and with less human support. As a result\, IoT\, industrial\, and smart infrastructure networks can do more at the edge. They can also save energy\, reduce downtime\, and respond faster to change. \nThis World of Connected AI (WCA) roundtable brings four technology leaders together. They will explore how key technologies support smarter edge systems.These include wireless power\, shared energy intelligence\, long range connectivity\, and AI driven sensing. Together\, these tools create systems that can run with greater freedom and scale.They also help build cleaner\, stronger\, and more reliable digital infrastructure. \nHow Does Wireless Power Help Edge AI Grow?\nWireless power removes many limits linked to standard batteries. Because of this\, edge devices can keep sensing without frequent battery changes. They can also work longer and deliver steady performance. This reduces service visits and lowers the cost of large device networks. \nIn addition\, wireless power supports sensors in hard to reach places. So\, teams can place devices where data matters most.This gives Edge AI systems more reach\, better uptime\, and stronger field performance. \nEdge AI and Smarter Energy Management\nDecentralized energy systems are changing how microgrids work.I nstead of relying on one main controller\, assets can share decisions. Solar panels\, storage units\, and EV chargers can adapt as conditions change. As a result\, energy networks become more flexible and more resilient. \nEdge AI adds value by helping these assets act in real time. It can track demand\, balance supply\, and support cleaner energy use. Therefore\, microgrids can respond faster while using resources more wisely. \nLong Range Connectivity Expands Edge AI Networks\nLong range\, low power wireless networks help Edge AI scale across wide areas. These networks support thousands of connected devices without heavy energy use. They also improve coverage for cities\, factories\, farms\, and remote sites. For example\, sub GHz IoT connectivity can link devices across large spaces. It gives teams reliable data without complex wiring or high power needs. As a result\, organizations can build larger and smarter edge networks. \nAI Driven Sensing Turns Data Into Action\nSmart sensing platforms help turn raw data into useful insight. They can detect changes\, spot risks\, and guide faster decisions. Because of this\, teams gain clearer visibility across daily operations. These systems also support logistics\, safety\, and industrial work. They can automate tasks\, improve alerts\, and reduce response times. Meanwhile\, real time analytics help people act before small issues grow. \nEdge AI Builds Resilient and Scalable Infrastructure\nTogether\, these technologies move Edge AI from idea to real deployment. They support systems that can adapt\, save energy\, and operate with less support. They also help industries build stronger networks for the future. Attendees will learn about new architectures and cross industry use cases. They will also see how collaboration can speed the next wave of edge innovation. With the right ecosystem\, Edge AI can power smarter\, cleaner\, and more independent systems. \n\n\n\n\n	\nHow Edge AI Is Powering Smarter\, Self-Sufficient IoT Ecosystems\nEdge AI is reshaping how devices sense\, process\, and act in real time. As a result\, it unlocks new levels of intelligence\, efficiency\, and autonomy across IoT\, industrial\, and smart infrastructure environments. This WCA roundtable brings together four technology leaders\, Energous\, Heila\, Newracom\, and Sensitel with SenseAI\, to examine how wireless power\, distributed energy intelligence\, long range connectivity\, and AI driven sensing combine to create a new generation of self powered\, resilient\, and scalable edge systems. \nWireless Power Networks Eliminate Battery Limits\nEnergous leads the discussion by presenting advances in wireless power networks. These networks remove battery limitations and support continuous sensing at the edge. Consequently\, devices can operate longer\, maintain consistent performance\, and reduce the maintenance burden that traditional battery powered systems create. \nDecentralized Energy Management Reshapes Microgrids\nHeila then demonstrates how autonomous and decentralized energy management transforms microgrids and distributed energy resources. Solar\, storage\, and EV assets work together and adapt without relying on a central controller. In turn\, this approach gives Edge AI systems the flexibility to respond to changing energy conditions in real time. \nLong Range Connectivity Strengthens Edge AI Architectures\nNewracom explains how Wi Fi HaLow delivers long range\, low power connectivity. This capability proves essential for large scale IoT deployments and forms a strong foundation for robust Edge AI architectures. Moreover\, it allows organizations to connect thousands of devices across wide areas without sacrificing power efficiency. \nIntelligent Sensing Brings Context to Raw Data\nSensitel\, powered by SenseAI\, rounds out the panel by showing how intelligent sensing\, workflow automation\, and real time analytics bring contextual awareness to the edge. As a result\, raw sensor data becomes actionable insight that supports operations\, logistics\, and safety across industries. \nWhat Attendees Will Gain\nTogether\, these four perspectives show how Edge AI moves from concept to real world deployment. The result is a class of systems that adapts more readily\, operates more sustainably\, and functions independently at scale. Attendees leave with a clear view of emerging architectures\, cross industry use cases\, and the collaborative ecosystem needed to drive the next wave of intelligent edge innovation. \n\n\n\n\n		\n	\n\n\n\n		\n	\n\n\n\n		\n	\n\n\n\n		\n	\n\n\n\n	About Sensors Converge\nSensors Converge is North America’s leading event for sensing\, processing\, connectivity\, power\, and edge AI innovation. \nDiscover more than 200 exhibitors and thousands of technologies across 50 product categories.\nHear directly from experts shaping the next generation of intelligent systems. \nProfessionals building IoT\, edge AI\, embedded systems\, or connected devices will find valuable insights and partners.\nThis is where breakthrough ideas move from concept to real-world deployment. \nJoin the engineering and technology community driving the future of connected innovation.
URL:https://wca.org/event/mobile-world-congress-2023-a-recap-2/
CATEGORIES:WCA Center Stage
ATTACH;FMTTYPE=image/jpeg:https://wca.org/wp-content/uploads/2023/01/MCW-recap-2023-1X1-200x.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20230216T090000
DTEND;TZID=America/Los_Angeles:20230216T103000
DTSTAMP:20260618T035039
CREATED:20221205T024551Z
LAST-MODIFIED:20221205T024551Z
UID:35643-1676538000-1676543400@wca.org
SUMMARY:WCA’s 4th Annual 6G Conference 2023
DESCRIPTION:Edge‑AI for the Next Generation of Connected Systems						\n												\n						 The Technologies Shaping Tomorrow’s Intelligent Edge Ecosystem						\n											\n						\n					\n					\n\n\n	\nEdge AI is changing how devices sense\, think\, and act in real time. Today\, it helps systems work faster\, smarter\, and with less human support. As a result\, IoT\, industrial\, and smart infrastructure networks can do more at the edge. They can also save energy\, reduce downtime\, and respond faster to change. \nThis World of Connected AI (WCA) roundtable brings four technology leaders together. They will explore how key technologies support smarter edge systems.These include wireless power\, shared energy intelligence\, long range connectivity\, and AI driven sensing. Together\, these tools create systems that can run with greater freedom and scale.They also help build cleaner\, stronger\, and more reliable digital infrastructure. \nHow Does Wireless Power Help Edge AI Grow?\nWireless power removes many limits linked to standard batteries. Because of this\, edge devices can keep sensing without frequent battery changes. They can also work longer and deliver steady performance. This reduces service visits and lowers the cost of large device networks. \nIn addition\, wireless power supports sensors in hard to reach places. So\, teams can place devices where data matters most.This gives Edge AI systems more reach\, better uptime\, and stronger field performance. \nEdge AI and Smarter Energy Management\nDecentralized energy systems are changing how microgrids work.I nstead of relying on one main controller\, assets can share decisions. Solar panels\, storage units\, and EV chargers can adapt as conditions change. As a result\, energy networks become more flexible and more resilient. \nEdge AI adds value by helping these assets act in real time. It can track demand\, balance supply\, and support cleaner energy use. Therefore\, microgrids can respond faster while using resources more wisely. \nLong Range Connectivity Expands Edge AI Networks\nLong range\, low power wireless networks help Edge AI scale across wide areas. These networks support thousands of connected devices without heavy energy use. They also improve coverage for cities\, factories\, farms\, and remote sites. For example\, sub GHz IoT connectivity can link devices across large spaces. It gives teams reliable data without complex wiring or high power needs. As a result\, organizations can build larger and smarter edge networks. \nAI Driven Sensing Turns Data Into Action\nSmart sensing platforms help turn raw data into useful insight. They can detect changes\, spot risks\, and guide faster decisions. Because of this\, teams gain clearer visibility across daily operations. These systems also support logistics\, safety\, and industrial work. They can automate tasks\, improve alerts\, and reduce response times. Meanwhile\, real time analytics help people act before small issues grow. \nEdge AI Builds Resilient and Scalable Infrastructure\nTogether\, these technologies move Edge AI from idea to real deployment. They support systems that can adapt\, save energy\, and operate with less support. They also help industries build stronger networks for the future. Attendees will learn about new architectures and cross industry use cases. They will also see how collaboration can speed the next wave of edge innovation. With the right ecosystem\, Edge AI can power smarter\, cleaner\, and more independent systems. \n\n\n\n\n	\nHow Edge AI Is Powering Smarter\, Self-Sufficient IoT Ecosystems\nEdge AI is reshaping how devices sense\, process\, and act in real time. As a result\, it unlocks new levels of intelligence\, efficiency\, and autonomy across IoT\, industrial\, and smart infrastructure environments. This WCA roundtable brings together four technology leaders\, Energous\, Heila\, Newracom\, and Sensitel with SenseAI\, to examine how wireless power\, distributed energy intelligence\, long range connectivity\, and AI driven sensing combine to create a new generation of self powered\, resilient\, and scalable edge systems. \nWireless Power Networks Eliminate Battery Limits\nEnergous leads the discussion by presenting advances in wireless power networks. These networks remove battery limitations and support continuous sensing at the edge. Consequently\, devices can operate longer\, maintain consistent performance\, and reduce the maintenance burden that traditional battery powered systems create. \nDecentralized Energy Management Reshapes Microgrids\nHeila then demonstrates how autonomous and decentralized energy management transforms microgrids and distributed energy resources. Solar\, storage\, and EV assets work together and adapt without relying on a central controller. In turn\, this approach gives Edge AI systems the flexibility to respond to changing energy conditions in real time. \nLong Range Connectivity Strengthens Edge AI Architectures\nNewracom explains how Wi Fi HaLow delivers long range\, low power connectivity. This capability proves essential for large scale IoT deployments and forms a strong foundation for robust Edge AI architectures. Moreover\, it allows organizations to connect thousands of devices across wide areas without sacrificing power efficiency. \nIntelligent Sensing Brings Context to Raw Data\nSensitel\, powered by SenseAI\, rounds out the panel by showing how intelligent sensing\, workflow automation\, and real time analytics bring contextual awareness to the edge. As a result\, raw sensor data becomes actionable insight that supports operations\, logistics\, and safety across industries. \nWhat Attendees Will Gain\nTogether\, these four perspectives show how Edge AI moves from concept to real world deployment. The result is a class of systems that adapts more readily\, operates more sustainably\, and functions independently at scale. Attendees leave with a clear view of emerging architectures\, cross industry use cases\, and the collaborative ecosystem needed to drive the next wave of intelligent edge innovation. \n\n\n\n\n		\n	\n\n\n\n		\n	\n\n\n\n		\n	\n\n\n\n		\n	\n\n\n\n	About Sensors Converge\nSensors Converge is North America’s leading event for sensing\, processing\, connectivity\, power\, and edge AI innovation. \nDiscover more than 200 exhibitors and thousands of technologies across 50 product categories.\nHear directly from experts shaping the next generation of intelligent systems. \nProfessionals building IoT\, edge AI\, embedded systems\, or connected devices will find valuable insights and partners.\nThis is where breakthrough ideas move from concept to real-world deployment. \nJoin the engineering and technology community driving the future of connected innovation.
URL:https://wca.org/event/everything-you-always-wanted-to-know-about-6g-but-were-afraid-to-ask-2/
CATEGORIES:WCA Center Stage
ATTACH;FMTTYPE=image/jpeg:https://wca.org/wp-content/uploads/2022/12/6G-eventlogo-1x1-300x.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20221117T160000
DTEND;TZID=America/Los_Angeles:20221117T173000
DTSTAMP:20260618T035039
CREATED:20211207T010443Z
LAST-MODIFIED:20211207T010443Z
UID:35633-1668700800-1668706200@wca.org
SUMMARY:23rd annual What’s Hot / What’s Not event 2022
DESCRIPTION:Edge‑AI for the Next Generation of Connected Systems						\n												\n						 The Technologies Shaping Tomorrow’s Intelligent Edge Ecosystem						\n											\n						\n					\n					\n\n\n	\nEdge AI is changing how devices sense\, think\, and act in real time. Today\, it helps systems work faster\, smarter\, and with less human support. As a result\, IoT\, industrial\, and smart infrastructure networks can do more at the edge. They can also save energy\, reduce downtime\, and respond faster to change. \nThis World of Connected AI (WCA) roundtable brings four technology leaders together. They will explore how key technologies support smarter edge systems.These include wireless power\, shared energy intelligence\, long range connectivity\, and AI driven sensing. Together\, these tools create systems that can run with greater freedom and scale.They also help build cleaner\, stronger\, and more reliable digital infrastructure. \nHow Does Wireless Power Help Edge AI Grow?\nWireless power removes many limits linked to standard batteries. Because of this\, edge devices can keep sensing without frequent battery changes. They can also work longer and deliver steady performance. This reduces service visits and lowers the cost of large device networks. \nIn addition\, wireless power supports sensors in hard to reach places. So\, teams can place devices where data matters most.This gives Edge AI systems more reach\, better uptime\, and stronger field performance. \nEdge AI and Smarter Energy Management\nDecentralized energy systems are changing how microgrids work.I nstead of relying on one main controller\, assets can share decisions. Solar panels\, storage units\, and EV chargers can adapt as conditions change. As a result\, energy networks become more flexible and more resilient. \nEdge AI adds value by helping these assets act in real time. It can track demand\, balance supply\, and support cleaner energy use. Therefore\, microgrids can respond faster while using resources more wisely. \nLong Range Connectivity Expands Edge AI Networks\nLong range\, low power wireless networks help Edge AI scale across wide areas. These networks support thousands of connected devices without heavy energy use. They also improve coverage for cities\, factories\, farms\, and remote sites. For example\, sub GHz IoT connectivity can link devices across large spaces. It gives teams reliable data without complex wiring or high power needs. As a result\, organizations can build larger and smarter edge networks. \nAI Driven Sensing Turns Data Into Action\nSmart sensing platforms help turn raw data into useful insight. They can detect changes\, spot risks\, and guide faster decisions. Because of this\, teams gain clearer visibility across daily operations. These systems also support logistics\, safety\, and industrial work. They can automate tasks\, improve alerts\, and reduce response times. Meanwhile\, real time analytics help people act before small issues grow. \nEdge AI Builds Resilient and Scalable Infrastructure\nTogether\, these technologies move Edge AI from idea to real deployment. They support systems that can adapt\, save energy\, and operate with less support. They also help industries build stronger networks for the future. Attendees will learn about new architectures and cross industry use cases. They will also see how collaboration can speed the next wave of edge innovation. With the right ecosystem\, Edge AI can power smarter\, cleaner\, and more independent systems. \n\n\n\n\n	\nHow Edge AI Is Powering Smarter\, Self-Sufficient IoT Ecosystems\nEdge AI is reshaping how devices sense\, process\, and act in real time. As a result\, it unlocks new levels of intelligence\, efficiency\, and autonomy across IoT\, industrial\, and smart infrastructure environments. This WCA roundtable brings together four technology leaders\, Energous\, Heila\, Newracom\, and Sensitel with SenseAI\, to examine how wireless power\, distributed energy intelligence\, long range connectivity\, and AI driven sensing combine to create a new generation of self powered\, resilient\, and scalable edge systems. \nWireless Power Networks Eliminate Battery Limits\nEnergous leads the discussion by presenting advances in wireless power networks. These networks remove battery limitations and support continuous sensing at the edge. Consequently\, devices can operate longer\, maintain consistent performance\, and reduce the maintenance burden that traditional battery powered systems create. \nDecentralized Energy Management Reshapes Microgrids\nHeila then demonstrates how autonomous and decentralized energy management transforms microgrids and distributed energy resources. Solar\, storage\, and EV assets work together and adapt without relying on a central controller. In turn\, this approach gives Edge AI systems the flexibility to respond to changing energy conditions in real time. \nLong Range Connectivity Strengthens Edge AI Architectures\nNewracom explains how Wi Fi HaLow delivers long range\, low power connectivity. This capability proves essential for large scale IoT deployments and forms a strong foundation for robust Edge AI architectures. Moreover\, it allows organizations to connect thousands of devices across wide areas without sacrificing power efficiency. \nIntelligent Sensing Brings Context to Raw Data\nSensitel\, powered by SenseAI\, rounds out the panel by showing how intelligent sensing\, workflow automation\, and real time analytics bring contextual awareness to the edge. As a result\, raw sensor data becomes actionable insight that supports operations\, logistics\, and safety across industries. \nWhat Attendees Will Gain\nTogether\, these four perspectives show how Edge AI moves from concept to real world deployment. The result is a class of systems that adapts more readily\, operates more sustainably\, and functions independently at scale. Attendees leave with a clear view of emerging architectures\, cross industry use cases\, and the collaborative ecosystem needed to drive the next wave of intelligent edge innovation. \n\n\n\n\n		\n	\n\n\n\n		\n	\n\n\n\n		\n	\n\n\n\n		\n	\n\n\n\n	About Sensors Converge\nSensors Converge is North America’s leading event for sensing\, processing\, connectivity\, power\, and edge AI innovation. \nDiscover more than 200 exhibitors and thousands of technologies across 50 product categories.\nHear directly from experts shaping the next generation of intelligent systems. \nProfessionals building IoT\, edge AI\, embedded systems\, or connected devices will find valuable insights and partners.\nThis is where breakthrough ideas move from concept to real-world deployment. \nJoin the engineering and technology community driving the future of connected innovation.
URL:https://wca.org/event/23rd-annual-whats-hot-whats-not-event-2022-2/
CATEGORIES:WCA Center Stage
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20220927T170000
DTEND;TZID=America/Los_Angeles:20220927T200000
DTSTAMP:20260618T035039
CREATED:20220621T025920Z
LAST-MODIFIED:20220621T025920Z
UID:35632-1664298000-1664308800@wca.org
SUMMARY:11th annual IIoT Gizmos & Gadgets 2022\, Music\, Snacks and Drinks
DESCRIPTION:Edge‑AI for the Next Generation of Connected Systems						\n												\n						 The Technologies Shaping Tomorrow’s Intelligent Edge Ecosystem						\n											\n						\n					\n					\n\n\n	\nEdge AI is changing how devices sense\, think\, and act in real time. Today\, it helps systems work faster\, smarter\, and with less human support. As a result\, IoT\, industrial\, and smart infrastructure networks can do more at the edge. They can also save energy\, reduce downtime\, and respond faster to change. \nThis World of Connected AI (WCA) roundtable brings four technology leaders together. They will explore how key technologies support smarter edge systems.These include wireless power\, shared energy intelligence\, long range connectivity\, and AI driven sensing. Together\, these tools create systems that can run with greater freedom and scale.They also help build cleaner\, stronger\, and more reliable digital infrastructure. \nHow Does Wireless Power Help Edge AI Grow?\nWireless power removes many limits linked to standard batteries. Because of this\, edge devices can keep sensing without frequent battery changes. They can also work longer and deliver steady performance. This reduces service visits and lowers the cost of large device networks. \nIn addition\, wireless power supports sensors in hard to reach places. So\, teams can place devices where data matters most.This gives Edge AI systems more reach\, better uptime\, and stronger field performance. \nEdge AI and Smarter Energy Management\nDecentralized energy systems are changing how microgrids work.I nstead of relying on one main controller\, assets can share decisions. Solar panels\, storage units\, and EV chargers can adapt as conditions change. As a result\, energy networks become more flexible and more resilient. \nEdge AI adds value by helping these assets act in real time. It can track demand\, balance supply\, and support cleaner energy use. Therefore\, microgrids can respond faster while using resources more wisely. \nLong Range Connectivity Expands Edge AI Networks\nLong range\, low power wireless networks help Edge AI scale across wide areas. These networks support thousands of connected devices without heavy energy use. They also improve coverage for cities\, factories\, farms\, and remote sites. For example\, sub GHz IoT connectivity can link devices across large spaces. It gives teams reliable data without complex wiring or high power needs. As a result\, organizations can build larger and smarter edge networks. \nAI Driven Sensing Turns Data Into Action\nSmart sensing platforms help turn raw data into useful insight. They can detect changes\, spot risks\, and guide faster decisions. Because of this\, teams gain clearer visibility across daily operations. These systems also support logistics\, safety\, and industrial work. They can automate tasks\, improve alerts\, and reduce response times. Meanwhile\, real time analytics help people act before small issues grow. \nEdge AI Builds Resilient and Scalable Infrastructure\nTogether\, these technologies move Edge AI from idea to real deployment. They support systems that can adapt\, save energy\, and operate with less support. They also help industries build stronger networks for the future. Attendees will learn about new architectures and cross industry use cases. They will also see how collaboration can speed the next wave of edge innovation. With the right ecosystem\, Edge AI can power smarter\, cleaner\, and more independent systems. \n\n\n\n\n	\nHow Edge AI Is Powering Smarter\, Self-Sufficient IoT Ecosystems\nEdge AI is reshaping how devices sense\, process\, and act in real time. As a result\, it unlocks new levels of intelligence\, efficiency\, and autonomy across IoT\, industrial\, and smart infrastructure environments. This WCA roundtable brings together four technology leaders\, Energous\, Heila\, Newracom\, and Sensitel with SenseAI\, to examine how wireless power\, distributed energy intelligence\, long range connectivity\, and AI driven sensing combine to create a new generation of self powered\, resilient\, and scalable edge systems. \nWireless Power Networks Eliminate Battery Limits\nEnergous leads the discussion by presenting advances in wireless power networks. These networks remove battery limitations and support continuous sensing at the edge. Consequently\, devices can operate longer\, maintain consistent performance\, and reduce the maintenance burden that traditional battery powered systems create. \nDecentralized Energy Management Reshapes Microgrids\nHeila then demonstrates how autonomous and decentralized energy management transforms microgrids and distributed energy resources. Solar\, storage\, and EV assets work together and adapt without relying on a central controller. In turn\, this approach gives Edge AI systems the flexibility to respond to changing energy conditions in real time. \nLong Range Connectivity Strengthens Edge AI Architectures\nNewracom explains how Wi Fi HaLow delivers long range\, low power connectivity. This capability proves essential for large scale IoT deployments and forms a strong foundation for robust Edge AI architectures. Moreover\, it allows organizations to connect thousands of devices across wide areas without sacrificing power efficiency. \nIntelligent Sensing Brings Context to Raw Data\nSensitel\, powered by SenseAI\, rounds out the panel by showing how intelligent sensing\, workflow automation\, and real time analytics bring contextual awareness to the edge. As a result\, raw sensor data becomes actionable insight that supports operations\, logistics\, and safety across industries. \nWhat Attendees Will Gain\nTogether\, these four perspectives show how Edge AI moves from concept to real world deployment. The result is a class of systems that adapts more readily\, operates more sustainably\, and functions independently at scale. Attendees leave with a clear view of emerging architectures\, cross industry use cases\, and the collaborative ecosystem needed to drive the next wave of intelligent edge innovation. \n\n\n\n\n		\n	\n\n\n\n		\n	\n\n\n\n		\n	\n\n\n\n		\n	\n\n\n\n	About Sensors Converge\nSensors Converge is North America’s leading event for sensing\, processing\, connectivity\, power\, and edge AI innovation. \nDiscover more than 200 exhibitors and thousands of technologies across 50 product categories.\nHear directly from experts shaping the next generation of intelligent systems. \nProfessionals building IoT\, edge AI\, embedded systems\, or connected devices will find valuable insights and partners.\nThis is where breakthrough ideas move from concept to real-world deployment. \nJoin the engineering and technology community driving the future of connected innovation.
URL:https://wca.org/event/gizmos-and-gadgets-2022-2/
CATEGORIES:WCA Center Stage
ATTACH;FMTTYPE=image/jpeg:https://wca.org/wp-content/uploads/2022/08/Thumb_IoT_Gizmo_Gadgets-2022.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20220825T100000
DTEND;TZID=America/Los_Angeles:20220825T113000
DTSTAMP:20260618T035039
CREATED:20220621T030001Z
LAST-MODIFIED:20220826T182153Z
UID:33573-1661421600-1661427000@wca.org
SUMMARY:Wi-Fi Here and Now Event 2022:  Open Wi-Fi\, HaLow\, Wi-Fi 6e\, and more
DESCRIPTION:Edge‑AI for the Next Generation of Connected Systems						\n												\n						 The Technologies Shaping Tomorrow’s Intelligent Edge Ecosystem						\n											\n						\n					\n					\n\n\n	\nEdge AI is changing how devices sense\, think\, and act in real time. Today\, it helps systems work faster\, smarter\, and with less human support. As a result\, IoT\, industrial\, and smart infrastructure networks can do more at the edge. They can also save energy\, reduce downtime\, and respond faster to change. \nThis World of Connected AI (WCA) roundtable brings four technology leaders together. They will explore how key technologies support smarter edge systems.These include wireless power\, shared energy intelligence\, long range connectivity\, and AI driven sensing. Together\, these tools create systems that can run with greater freedom and scale.They also help build cleaner\, stronger\, and more reliable digital infrastructure. \nHow Does Wireless Power Help Edge AI Grow?\nWireless power removes many limits linked to standard batteries. Because of this\, edge devices can keep sensing without frequent battery changes. They can also work longer and deliver steady performance. This reduces service visits and lowers the cost of large device networks. \nIn addition\, wireless power supports sensors in hard to reach places. So\, teams can place devices where data matters most.This gives Edge AI systems more reach\, better uptime\, and stronger field performance. \nEdge AI and Smarter Energy Management\nDecentralized energy systems are changing how microgrids work.I nstead of relying on one main controller\, assets can share decisions. Solar panels\, storage units\, and EV chargers can adapt as conditions change. As a result\, energy networks become more flexible and more resilient. \nEdge AI adds value by helping these assets act in real time. It can track demand\, balance supply\, and support cleaner energy use. Therefore\, microgrids can respond faster while using resources more wisely. \nLong Range Connectivity Expands Edge AI Networks\nLong range\, low power wireless networks help Edge AI scale across wide areas. These networks support thousands of connected devices without heavy energy use. They also improve coverage for cities\, factories\, farms\, and remote sites. For example\, sub GHz IoT connectivity can link devices across large spaces. It gives teams reliable data without complex wiring or high power needs. As a result\, organizations can build larger and smarter edge networks. \nAI Driven Sensing Turns Data Into Action\nSmart sensing platforms help turn raw data into useful insight. They can detect changes\, spot risks\, and guide faster decisions. Because of this\, teams gain clearer visibility across daily operations. These systems also support logistics\, safety\, and industrial work. They can automate tasks\, improve alerts\, and reduce response times. Meanwhile\, real time analytics help people act before small issues grow. \nEdge AI Builds Resilient and Scalable Infrastructure\nTogether\, these technologies move Edge AI from idea to real deployment. They support systems that can adapt\, save energy\, and operate with less support. They also help industries build stronger networks for the future. Attendees will learn about new architectures and cross industry use cases. They will also see how collaboration can speed the next wave of edge innovation. With the right ecosystem\, Edge AI can power smarter\, cleaner\, and more independent systems. \n\n\n\n\n	\nHow Edge AI Is Powering Smarter\, Self-Sufficient IoT Ecosystems\nEdge AI is reshaping how devices sense\, process\, and act in real time. As a result\, it unlocks new levels of intelligence\, efficiency\, and autonomy across IoT\, industrial\, and smart infrastructure environments. This WCA roundtable brings together four technology leaders\, Energous\, Heila\, Newracom\, and Sensitel with SenseAI\, to examine how wireless power\, distributed energy intelligence\, long range connectivity\, and AI driven sensing combine to create a new generation of self powered\, resilient\, and scalable edge systems. \nWireless Power Networks Eliminate Battery Limits\nEnergous leads the discussion by presenting advances in wireless power networks. These networks remove battery limitations and support continuous sensing at the edge. Consequently\, devices can operate longer\, maintain consistent performance\, and reduce the maintenance burden that traditional battery powered systems create. \nDecentralized Energy Management Reshapes Microgrids\nHeila then demonstrates how autonomous and decentralized energy management transforms microgrids and distributed energy resources. Solar\, storage\, and EV assets work together and adapt without relying on a central controller. In turn\, this approach gives Edge AI systems the flexibility to respond to changing energy conditions in real time. \nLong Range Connectivity Strengthens Edge AI Architectures\nNewracom explains how Wi Fi HaLow delivers long range\, low power connectivity. This capability proves essential for large scale IoT deployments and forms a strong foundation for robust Edge AI architectures. Moreover\, it allows organizations to connect thousands of devices across wide areas without sacrificing power efficiency. \nIntelligent Sensing Brings Context to Raw Data\nSensitel\, powered by SenseAI\, rounds out the panel by showing how intelligent sensing\, workflow automation\, and real time analytics bring contextual awareness to the edge. As a result\, raw sensor data becomes actionable insight that supports operations\, logistics\, and safety across industries. \nWhat Attendees Will Gain\nTogether\, these four perspectives show how Edge AI moves from concept to real world deployment. The result is a class of systems that adapts more readily\, operates more sustainably\, and functions independently at scale. Attendees leave with a clear view of emerging architectures\, cross industry use cases\, and the collaborative ecosystem needed to drive the next wave of intelligent edge innovation. \n\n\n\n\n		\n	\n\n\n\n		\n	\n\n\n\n		\n	\n\n\n\n		\n	\n\n\n\n	About Sensors Converge\nSensors Converge is North America’s leading event for sensing\, processing\, connectivity\, power\, and edge AI innovation. \nDiscover more than 200 exhibitors and thousands of technologies across 50 product categories.\nHear directly from experts shaping the next generation of intelligent systems. \nProfessionals building IoT\, edge AI\, embedded systems\, or connected devices will find valuable insights and partners.\nThis is where breakthrough ideas move from concept to real-world deployment. \nJoin the engineering and technology community driving the future of connected innovation.
URL:https://wca.org/event/wi-fi-here-and-now-event-2022-halow-wi-fi-6e-and-wi-fi-7/
CATEGORIES:WCA Center Stage
ATTACH;FMTTYPE=image/jpeg:https://wca.org/wp-content/uploads/Thumb_halow-event2022-1.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20220721T133000
DTEND;TZID=America/Los_Angeles:20220721T150000
DTSTAMP:20260618T035039
CREATED:20220620T191926Z
LAST-MODIFIED:20220811T010713Z
UID:33847-1658410200-1658415600@wca.org
SUMMARY:Wireless Hitchhiker’s Guide to Deploying LoraWAN Hotspots on the Helium Network
DESCRIPTION:Edge‑AI for the Next Generation of Connected Systems						\n												\n						 The Technologies Shaping Tomorrow’s Intelligent Edge Ecosystem						\n											\n						\n					\n					\n\n\n	\nEdge AI is changing how devices sense\, think\, and act in real time. Today\, it helps systems work faster\, smarter\, and with less human support. As a result\, IoT\, industrial\, and smart infrastructure networks can do more at the edge. They can also save energy\, reduce downtime\, and respond faster to change. \nThis World of Connected AI (WCA) roundtable brings four technology leaders together. They will explore how key technologies support smarter edge systems.These include wireless power\, shared energy intelligence\, long range connectivity\, and AI driven sensing. Together\, these tools create systems that can run with greater freedom and scale.They also help build cleaner\, stronger\, and more reliable digital infrastructure. \nHow Does Wireless Power Help Edge AI Grow?\nWireless power removes many limits linked to standard batteries. Because of this\, edge devices can keep sensing without frequent battery changes. They can also work longer and deliver steady performance. This reduces service visits and lowers the cost of large device networks. \nIn addition\, wireless power supports sensors in hard to reach places. So\, teams can place devices where data matters most.This gives Edge AI systems more reach\, better uptime\, and stronger field performance. \nEdge AI and Smarter Energy Management\nDecentralized energy systems are changing how microgrids work.I nstead of relying on one main controller\, assets can share decisions. Solar panels\, storage units\, and EV chargers can adapt as conditions change. As a result\, energy networks become more flexible and more resilient. \nEdge AI adds value by helping these assets act in real time. It can track demand\, balance supply\, and support cleaner energy use. Therefore\, microgrids can respond faster while using resources more wisely. \nLong Range Connectivity Expands Edge AI Networks\nLong range\, low power wireless networks help Edge AI scale across wide areas. These networks support thousands of connected devices without heavy energy use. They also improve coverage for cities\, factories\, farms\, and remote sites. For example\, sub GHz IoT connectivity can link devices across large spaces. It gives teams reliable data without complex wiring or high power needs. As a result\, organizations can build larger and smarter edge networks. \nAI Driven Sensing Turns Data Into Action\nSmart sensing platforms help turn raw data into useful insight. They can detect changes\, spot risks\, and guide faster decisions. Because of this\, teams gain clearer visibility across daily operations. These systems also support logistics\, safety\, and industrial work. They can automate tasks\, improve alerts\, and reduce response times. Meanwhile\, real time analytics help people act before small issues grow. \nEdge AI Builds Resilient and Scalable Infrastructure\nTogether\, these technologies move Edge AI from idea to real deployment. They support systems that can adapt\, save energy\, and operate with less support. They also help industries build stronger networks for the future. Attendees will learn about new architectures and cross industry use cases. They will also see how collaboration can speed the next wave of edge innovation. With the right ecosystem\, Edge AI can power smarter\, cleaner\, and more independent systems. \n\n\n\n\n	\nHow Edge AI Is Powering Smarter\, Self-Sufficient IoT Ecosystems\nEdge AI is reshaping how devices sense\, process\, and act in real time. As a result\, it unlocks new levels of intelligence\, efficiency\, and autonomy across IoT\, industrial\, and smart infrastructure environments. This WCA roundtable brings together four technology leaders\, Energous\, Heila\, Newracom\, and Sensitel with SenseAI\, to examine how wireless power\, distributed energy intelligence\, long range connectivity\, and AI driven sensing combine to create a new generation of self powered\, resilient\, and scalable edge systems. \nWireless Power Networks Eliminate Battery Limits\nEnergous leads the discussion by presenting advances in wireless power networks. These networks remove battery limitations and support continuous sensing at the edge. Consequently\, devices can operate longer\, maintain consistent performance\, and reduce the maintenance burden that traditional battery powered systems create. \nDecentralized Energy Management Reshapes Microgrids\nHeila then demonstrates how autonomous and decentralized energy management transforms microgrids and distributed energy resources. Solar\, storage\, and EV assets work together and adapt without relying on a central controller. In turn\, this approach gives Edge AI systems the flexibility to respond to changing energy conditions in real time. \nLong Range Connectivity Strengthens Edge AI Architectures\nNewracom explains how Wi Fi HaLow delivers long range\, low power connectivity. This capability proves essential for large scale IoT deployments and forms a strong foundation for robust Edge AI architectures. Moreover\, it allows organizations to connect thousands of devices across wide areas without sacrificing power efficiency. \nIntelligent Sensing Brings Context to Raw Data\nSensitel\, powered by SenseAI\, rounds out the panel by showing how intelligent sensing\, workflow automation\, and real time analytics bring contextual awareness to the edge. As a result\, raw sensor data becomes actionable insight that supports operations\, logistics\, and safety across industries. \nWhat Attendees Will Gain\nTogether\, these four perspectives show how Edge AI moves from concept to real world deployment. The result is a class of systems that adapts more readily\, operates more sustainably\, and functions independently at scale. Attendees leave with a clear view of emerging architectures\, cross industry use cases\, and the collaborative ecosystem needed to drive the next wave of intelligent edge innovation. \n\n\n\n\n		\n	\n\n\n\n		\n	\n\n\n\n		\n	\n\n\n\n		\n	\n\n\n\n	About Sensors Converge\nSensors Converge is North America’s leading event for sensing\, processing\, connectivity\, power\, and edge AI innovation. \nDiscover more than 200 exhibitors and thousands of technologies across 50 product categories.\nHear directly from experts shaping the next generation of intelligent systems. \nProfessionals building IoT\, edge AI\, embedded systems\, or connected devices will find valuable insights and partners.\nThis is where breakthrough ideas move from concept to real-world deployment. \nJoin the engineering and technology community driving the future of connected innovation.
URL:https://wca.org/event/hitchhikers-guide-to-deploying-hotspots-on-the-helium-network/
CATEGORIES:WCA Center Stage
ATTACH;FMTTYPE=image/jpeg:https://wca.org/wp-content/uploads/ThumbEvent_HeaderWebsiteEvent.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20220707T120000
DTEND;TZID=America/Los_Angeles:20220707T133000
DTSTAMP:20260618T035039
CREATED:20220613T230601Z
LAST-MODIFIED:20230224T042150Z
UID:33832-1657195200-1657200600@wca.org
SUMMARY:Sensor Converge Exhibition Recap 2022
DESCRIPTION:Edge‑AI for the Next Generation of Connected Systems						\n												\n						 The Technologies Shaping Tomorrow’s Intelligent Edge Ecosystem						\n											\n						\n					\n					\n\n\n	\nEdge AI is changing how devices sense\, think\, and act in real time. Today\, it helps systems work faster\, smarter\, and with less human support. As a result\, IoT\, industrial\, and smart infrastructure networks can do more at the edge. They can also save energy\, reduce downtime\, and respond faster to change. \nThis World of Connected AI (WCA) roundtable brings four technology leaders together. They will explore how key technologies support smarter edge systems.These include wireless power\, shared energy intelligence\, long range connectivity\, and AI driven sensing. Together\, these tools create systems that can run with greater freedom and scale.They also help build cleaner\, stronger\, and more reliable digital infrastructure. \nHow Does Wireless Power Help Edge AI Grow?\nWireless power removes many limits linked to standard batteries. Because of this\, edge devices can keep sensing without frequent battery changes. They can also work longer and deliver steady performance. This reduces service visits and lowers the cost of large device networks. \nIn addition\, wireless power supports sensors in hard to reach places. So\, teams can place devices where data matters most.This gives Edge AI systems more reach\, better uptime\, and stronger field performance. \nEdge AI and Smarter Energy Management\nDecentralized energy systems are changing how microgrids work.I nstead of relying on one main controller\, assets can share decisions. Solar panels\, storage units\, and EV chargers can adapt as conditions change. As a result\, energy networks become more flexible and more resilient. \nEdge AI adds value by helping these assets act in real time. It can track demand\, balance supply\, and support cleaner energy use. Therefore\, microgrids can respond faster while using resources more wisely. \nLong Range Connectivity Expands Edge AI Networks\nLong range\, low power wireless networks help Edge AI scale across wide areas. These networks support thousands of connected devices without heavy energy use. They also improve coverage for cities\, factories\, farms\, and remote sites. For example\, sub GHz IoT connectivity can link devices across large spaces. It gives teams reliable data without complex wiring or high power needs. As a result\, organizations can build larger and smarter edge networks. \nAI Driven Sensing Turns Data Into Action\nSmart sensing platforms help turn raw data into useful insight. They can detect changes\, spot risks\, and guide faster decisions. Because of this\, teams gain clearer visibility across daily operations. These systems also support logistics\, safety\, and industrial work. They can automate tasks\, improve alerts\, and reduce response times. Meanwhile\, real time analytics help people act before small issues grow. \nEdge AI Builds Resilient and Scalable Infrastructure\nTogether\, these technologies move Edge AI from idea to real deployment. They support systems that can adapt\, save energy\, and operate with less support. They also help industries build stronger networks for the future. Attendees will learn about new architectures and cross industry use cases. They will also see how collaboration can speed the next wave of edge innovation. With the right ecosystem\, Edge AI can power smarter\, cleaner\, and more independent systems. \n\n\n\n\n	\nHow Edge AI Is Powering Smarter\, Self-Sufficient IoT Ecosystems\nEdge AI is reshaping how devices sense\, process\, and act in real time. As a result\, it unlocks new levels of intelligence\, efficiency\, and autonomy across IoT\, industrial\, and smart infrastructure environments. This WCA roundtable brings together four technology leaders\, Energous\, Heila\, Newracom\, and Sensitel with SenseAI\, to examine how wireless power\, distributed energy intelligence\, long range connectivity\, and AI driven sensing combine to create a new generation of self powered\, resilient\, and scalable edge systems. \nWireless Power Networks Eliminate Battery Limits\nEnergous leads the discussion by presenting advances in wireless power networks. These networks remove battery limitations and support continuous sensing at the edge. Consequently\, devices can operate longer\, maintain consistent performance\, and reduce the maintenance burden that traditional battery powered systems create. \nDecentralized Energy Management Reshapes Microgrids\nHeila then demonstrates how autonomous and decentralized energy management transforms microgrids and distributed energy resources. Solar\, storage\, and EV assets work together and adapt without relying on a central controller. In turn\, this approach gives Edge AI systems the flexibility to respond to changing energy conditions in real time. \nLong Range Connectivity Strengthens Edge AI Architectures\nNewracom explains how Wi Fi HaLow delivers long range\, low power connectivity. This capability proves essential for large scale IoT deployments and forms a strong foundation for robust Edge AI architectures. Moreover\, it allows organizations to connect thousands of devices across wide areas without sacrificing power efficiency. \nIntelligent Sensing Brings Context to Raw Data\nSensitel\, powered by SenseAI\, rounds out the panel by showing how intelligent sensing\, workflow automation\, and real time analytics bring contextual awareness to the edge. As a result\, raw sensor data becomes actionable insight that supports operations\, logistics\, and safety across industries. \nWhat Attendees Will Gain\nTogether\, these four perspectives show how Edge AI moves from concept to real world deployment. The result is a class of systems that adapts more readily\, operates more sustainably\, and functions independently at scale. Attendees leave with a clear view of emerging architectures\, cross industry use cases\, and the collaborative ecosystem needed to drive the next wave of intelligent edge innovation. \n\n\n\n\n		\n	\n\n\n\n		\n	\n\n\n\n		\n	\n\n\n\n		\n	\n\n\n\n	About Sensors Converge\nSensors Converge is North America’s leading event for sensing\, processing\, connectivity\, power\, and edge AI innovation. \nDiscover more than 200 exhibitors and thousands of technologies across 50 product categories.\nHear directly from experts shaping the next generation of intelligent systems. \nProfessionals building IoT\, edge AI\, embedded systems\, or connected devices will find valuable insights and partners.\nThis is where breakthrough ideas move from concept to real-world deployment. \nJoin the engineering and technology community driving the future of connected innovation.
URL:https://wca.org/event/sensor-converge-exhibition-recap-2022/
CATEGORIES:WCA Center Stage
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20220628T100000
DTEND;TZID=America/Los_Angeles:20220629T180000
DTSTAMP:20260618T035039
CREATED:20220210T060009Z
LAST-MODIFIED:20220621T023503Z
UID:33569-1656410400-1656525600@wca.org
SUMMARY:WCA presents live from the Sensor Converge Exhibition: Smart Sensors 2022
DESCRIPTION:Edge‑AI for the Next Generation of Connected Systems						\n												\n						 The Technologies Shaping Tomorrow’s Intelligent Edge Ecosystem						\n											\n						\n					\n					\n\n\n	\nEdge AI is changing how devices sense\, think\, and act in real time. Today\, it helps systems work faster\, smarter\, and with less human support. As a result\, IoT\, industrial\, and smart infrastructure networks can do more at the edge. They can also save energy\, reduce downtime\, and respond faster to change. \nThis World of Connected AI (WCA) roundtable brings four technology leaders together. They will explore how key technologies support smarter edge systems.These include wireless power\, shared energy intelligence\, long range connectivity\, and AI driven sensing. Together\, these tools create systems that can run with greater freedom and scale.They also help build cleaner\, stronger\, and more reliable digital infrastructure. \nHow Does Wireless Power Help Edge AI Grow?\nWireless power removes many limits linked to standard batteries. Because of this\, edge devices can keep sensing without frequent battery changes. They can also work longer and deliver steady performance. This reduces service visits and lowers the cost of large device networks. \nIn addition\, wireless power supports sensors in hard to reach places. So\, teams can place devices where data matters most.This gives Edge AI systems more reach\, better uptime\, and stronger field performance. \nEdge AI and Smarter Energy Management\nDecentralized energy systems are changing how microgrids work.I nstead of relying on one main controller\, assets can share decisions. Solar panels\, storage units\, and EV chargers can adapt as conditions change. As a result\, energy networks become more flexible and more resilient. \nEdge AI adds value by helping these assets act in real time. It can track demand\, balance supply\, and support cleaner energy use. Therefore\, microgrids can respond faster while using resources more wisely. \nLong Range Connectivity Expands Edge AI Networks\nLong range\, low power wireless networks help Edge AI scale across wide areas. These networks support thousands of connected devices without heavy energy use. They also improve coverage for cities\, factories\, farms\, and remote sites. For example\, sub GHz IoT connectivity can link devices across large spaces. It gives teams reliable data without complex wiring or high power needs. As a result\, organizations can build larger and smarter edge networks. \nAI Driven Sensing Turns Data Into Action\nSmart sensing platforms help turn raw data into useful insight. They can detect changes\, spot risks\, and guide faster decisions. Because of this\, teams gain clearer visibility across daily operations. These systems also support logistics\, safety\, and industrial work. They can automate tasks\, improve alerts\, and reduce response times. Meanwhile\, real time analytics help people act before small issues grow. \nEdge AI Builds Resilient and Scalable Infrastructure\nTogether\, these technologies move Edge AI from idea to real deployment. They support systems that can adapt\, save energy\, and operate with less support. They also help industries build stronger networks for the future. Attendees will learn about new architectures and cross industry use cases. They will also see how collaboration can speed the next wave of edge innovation. With the right ecosystem\, Edge AI can power smarter\, cleaner\, and more independent systems. \n\n\n\n\n	\nHow Edge AI Is Powering Smarter\, Self-Sufficient IoT Ecosystems\nEdge AI is reshaping how devices sense\, process\, and act in real time. As a result\, it unlocks new levels of intelligence\, efficiency\, and autonomy across IoT\, industrial\, and smart infrastructure environments. This WCA roundtable brings together four technology leaders\, Energous\, Heila\, Newracom\, and Sensitel with SenseAI\, to examine how wireless power\, distributed energy intelligence\, long range connectivity\, and AI driven sensing combine to create a new generation of self powered\, resilient\, and scalable edge systems. \nWireless Power Networks Eliminate Battery Limits\nEnergous leads the discussion by presenting advances in wireless power networks. These networks remove battery limitations and support continuous sensing at the edge. Consequently\, devices can operate longer\, maintain consistent performance\, and reduce the maintenance burden that traditional battery powered systems create. \nDecentralized Energy Management Reshapes Microgrids\nHeila then demonstrates how autonomous and decentralized energy management transforms microgrids and distributed energy resources. Solar\, storage\, and EV assets work together and adapt without relying on a central controller. In turn\, this approach gives Edge AI systems the flexibility to respond to changing energy conditions in real time. \nLong Range Connectivity Strengthens Edge AI Architectures\nNewracom explains how Wi Fi HaLow delivers long range\, low power connectivity. This capability proves essential for large scale IoT deployments and forms a strong foundation for robust Edge AI architectures. Moreover\, it allows organizations to connect thousands of devices across wide areas without sacrificing power efficiency. \nIntelligent Sensing Brings Context to Raw Data\nSensitel\, powered by SenseAI\, rounds out the panel by showing how intelligent sensing\, workflow automation\, and real time analytics bring contextual awareness to the edge. As a result\, raw sensor data becomes actionable insight that supports operations\, logistics\, and safety across industries. \nWhat Attendees Will Gain\nTogether\, these four perspectives show how Edge AI moves from concept to real world deployment. The result is a class of systems that adapts more readily\, operates more sustainably\, and functions independently at scale. Attendees leave with a clear view of emerging architectures\, cross industry use cases\, and the collaborative ecosystem needed to drive the next wave of intelligent edge innovation. \n\n\n\n\n		\n	\n\n\n\n		\n	\n\n\n\n		\n	\n\n\n\n		\n	\n\n\n\n	About Sensors Converge\nSensors Converge is North America’s leading event for sensing\, processing\, connectivity\, power\, and edge AI innovation. \nDiscover more than 200 exhibitors and thousands of technologies across 50 product categories.\nHear directly from experts shaping the next generation of intelligent systems. \nProfessionals building IoT\, edge AI\, embedded systems\, or connected devices will find valuable insights and partners.\nThis is where breakthrough ideas move from concept to real-world deployment. \nJoin the engineering and technology community driving the future of connected innovation.
URL:https://wca.org/event/wca-presents-live-from-the-sensor-converge-exhibition-smart-sensors-2022/
CATEGORIES:WCA Center Stage
ATTACH;FMTTYPE=image/jpeg:https://wca.org/wp-content/uploads/thumb_Sensors_event.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20220519T120000
DTEND;TZID=America/Los_Angeles:20220519T130000
DTSTAMP:20260618T035039
CREATED:20220310T173036Z
LAST-MODIFIED:20230303T011437Z
UID:33627-1652961600-1652965200@wca.org
SUMMARY:Back to The Future of Wireless Event 2022
DESCRIPTION:Edge‑AI for the Next Generation of Connected Systems						\n												\n						 The Technologies Shaping Tomorrow’s Intelligent Edge Ecosystem						\n											\n						\n					\n					\n\n\n	\nEdge AI is changing how devices sense\, think\, and act in real time. Today\, it helps systems work faster\, smarter\, and with less human support. As a result\, IoT\, industrial\, and smart infrastructure networks can do more at the edge. They can also save energy\, reduce downtime\, and respond faster to change. \nThis World of Connected AI (WCA) roundtable brings four technology leaders together. They will explore how key technologies support smarter edge systems.These include wireless power\, shared energy intelligence\, long range connectivity\, and AI driven sensing. Together\, these tools create systems that can run with greater freedom and scale.They also help build cleaner\, stronger\, and more reliable digital infrastructure. \nHow Does Wireless Power Help Edge AI Grow?\nWireless power removes many limits linked to standard batteries. Because of this\, edge devices can keep sensing without frequent battery changes. They can also work longer and deliver steady performance. This reduces service visits and lowers the cost of large device networks. \nIn addition\, wireless power supports sensors in hard to reach places. So\, teams can place devices where data matters most.This gives Edge AI systems more reach\, better uptime\, and stronger field performance. \nEdge AI and Smarter Energy Management\nDecentralized energy systems are changing how microgrids work.I nstead of relying on one main controller\, assets can share decisions. Solar panels\, storage units\, and EV chargers can adapt as conditions change. As a result\, energy networks become more flexible and more resilient. \nEdge AI adds value by helping these assets act in real time. It can track demand\, balance supply\, and support cleaner energy use. Therefore\, microgrids can respond faster while using resources more wisely. \nLong Range Connectivity Expands Edge AI Networks\nLong range\, low power wireless networks help Edge AI scale across wide areas. These networks support thousands of connected devices without heavy energy use. They also improve coverage for cities\, factories\, farms\, and remote sites. For example\, sub GHz IoT connectivity can link devices across large spaces. It gives teams reliable data without complex wiring or high power needs. As a result\, organizations can build larger and smarter edge networks. \nAI Driven Sensing Turns Data Into Action\nSmart sensing platforms help turn raw data into useful insight. They can detect changes\, spot risks\, and guide faster decisions. Because of this\, teams gain clearer visibility across daily operations. These systems also support logistics\, safety\, and industrial work. They can automate tasks\, improve alerts\, and reduce response times. Meanwhile\, real time analytics help people act before small issues grow. \nEdge AI Builds Resilient and Scalable Infrastructure\nTogether\, these technologies move Edge AI from idea to real deployment. They support systems that can adapt\, save energy\, and operate with less support. They also help industries build stronger networks for the future. Attendees will learn about new architectures and cross industry use cases. They will also see how collaboration can speed the next wave of edge innovation. With the right ecosystem\, Edge AI can power smarter\, cleaner\, and more independent systems. \n\n\n\n\n	\nHow Edge AI Is Powering Smarter\, Self-Sufficient IoT Ecosystems\nEdge AI is reshaping how devices sense\, process\, and act in real time. As a result\, it unlocks new levels of intelligence\, efficiency\, and autonomy across IoT\, industrial\, and smart infrastructure environments. This WCA roundtable brings together four technology leaders\, Energous\, Heila\, Newracom\, and Sensitel with SenseAI\, to examine how wireless power\, distributed energy intelligence\, long range connectivity\, and AI driven sensing combine to create a new generation of self powered\, resilient\, and scalable edge systems. \nWireless Power Networks Eliminate Battery Limits\nEnergous leads the discussion by presenting advances in wireless power networks. These networks remove battery limitations and support continuous sensing at the edge. Consequently\, devices can operate longer\, maintain consistent performance\, and reduce the maintenance burden that traditional battery powered systems create. \nDecentralized Energy Management Reshapes Microgrids\nHeila then demonstrates how autonomous and decentralized energy management transforms microgrids and distributed energy resources. Solar\, storage\, and EV assets work together and adapt without relying on a central controller. In turn\, this approach gives Edge AI systems the flexibility to respond to changing energy conditions in real time. \nLong Range Connectivity Strengthens Edge AI Architectures\nNewracom explains how Wi Fi HaLow delivers long range\, low power connectivity. This capability proves essential for large scale IoT deployments and forms a strong foundation for robust Edge AI architectures. Moreover\, it allows organizations to connect thousands of devices across wide areas without sacrificing power efficiency. \nIntelligent Sensing Brings Context to Raw Data\nSensitel\, powered by SenseAI\, rounds out the panel by showing how intelligent sensing\, workflow automation\, and real time analytics bring contextual awareness to the edge. As a result\, raw sensor data becomes actionable insight that supports operations\, logistics\, and safety across industries. \nWhat Attendees Will Gain\nTogether\, these four perspectives show how Edge AI moves from concept to real world deployment. The result is a class of systems that adapts more readily\, operates more sustainably\, and functions independently at scale. Attendees leave with a clear view of emerging architectures\, cross industry use cases\, and the collaborative ecosystem needed to drive the next wave of intelligent edge innovation. \n\n\n\n\n		\n	\n\n\n\n		\n	\n\n\n\n		\n	\n\n\n\n		\n	\n\n\n\n	About Sensors Converge\nSensors Converge is North America’s leading event for sensing\, processing\, connectivity\, power\, and edge AI innovation. \nDiscover more than 200 exhibitors and thousands of technologies across 50 product categories.\nHear directly from experts shaping the next generation of intelligent systems. \nProfessionals building IoT\, edge AI\, embedded systems\, or connected devices will find valuable insights and partners.\nThis is where breakthrough ideas move from concept to real-world deployment. \nJoin the engineering and technology community driving the future of connected innovation.
URL:https://wca.org/event/back-to-the-future-of-wireless-event-2022/
CATEGORIES:WCA Center Stage
ATTACH;FMTTYPE=image/jpeg:https://wca.org/wp-content/uploads/Thumb-Future-Of-wireless.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20220324T120000
DTEND;TZID=America/Los_Angeles:20220324T130000
DTSTAMP:20260618T035039
CREATED:20220311T001415Z
LAST-MODIFIED:20230303T041442Z
UID:33639-1648123200-1648126800@wca.org
SUMMARY:Mobile World Conference 2022 - a Recap
DESCRIPTION:Edge‑AI for the Next Generation of Connected Systems						\n												\n						 The Technologies Shaping Tomorrow’s Intelligent Edge Ecosystem						\n											\n						\n					\n					\n\n\n	\nEdge AI is changing how devices sense\, think\, and act in real time. Today\, it helps systems work faster\, smarter\, and with less human support. As a result\, IoT\, industrial\, and smart infrastructure networks can do more at the edge. They can also save energy\, reduce downtime\, and respond faster to change. \nThis World of Connected AI (WCA) roundtable brings four technology leaders together. They will explore how key technologies support smarter edge systems.These include wireless power\, shared energy intelligence\, long range connectivity\, and AI driven sensing. Together\, these tools create systems that can run with greater freedom and scale.They also help build cleaner\, stronger\, and more reliable digital infrastructure. \nHow Does Wireless Power Help Edge AI Grow?\nWireless power removes many limits linked to standard batteries. Because of this\, edge devices can keep sensing without frequent battery changes. They can also work longer and deliver steady performance. This reduces service visits and lowers the cost of large device networks. \nIn addition\, wireless power supports sensors in hard to reach places. So\, teams can place devices where data matters most.This gives Edge AI systems more reach\, better uptime\, and stronger field performance. \nEdge AI and Smarter Energy Management\nDecentralized energy systems are changing how microgrids work.I nstead of relying on one main controller\, assets can share decisions. Solar panels\, storage units\, and EV chargers can adapt as conditions change. As a result\, energy networks become more flexible and more resilient. \nEdge AI adds value by helping these assets act in real time. It can track demand\, balance supply\, and support cleaner energy use. Therefore\, microgrids can respond faster while using resources more wisely. \nLong Range Connectivity Expands Edge AI Networks\nLong range\, low power wireless networks help Edge AI scale across wide areas. These networks support thousands of connected devices without heavy energy use. They also improve coverage for cities\, factories\, farms\, and remote sites. For example\, sub GHz IoT connectivity can link devices across large spaces. It gives teams reliable data without complex wiring or high power needs. As a result\, organizations can build larger and smarter edge networks. \nAI Driven Sensing Turns Data Into Action\nSmart sensing platforms help turn raw data into useful insight. They can detect changes\, spot risks\, and guide faster decisions. Because of this\, teams gain clearer visibility across daily operations. These systems also support logistics\, safety\, and industrial work. They can automate tasks\, improve alerts\, and reduce response times. Meanwhile\, real time analytics help people act before small issues grow. \nEdge AI Builds Resilient and Scalable Infrastructure\nTogether\, these technologies move Edge AI from idea to real deployment. They support systems that can adapt\, save energy\, and operate with less support. They also help industries build stronger networks for the future. Attendees will learn about new architectures and cross industry use cases. They will also see how collaboration can speed the next wave of edge innovation. With the right ecosystem\, Edge AI can power smarter\, cleaner\, and more independent systems. \n\n\n\n\n	\nHow Edge AI Is Powering Smarter\, Self-Sufficient IoT Ecosystems\nEdge AI is reshaping how devices sense\, process\, and act in real time. As a result\, it unlocks new levels of intelligence\, efficiency\, and autonomy across IoT\, industrial\, and smart infrastructure environments. This WCA roundtable brings together four technology leaders\, Energous\, Heila\, Newracom\, and Sensitel with SenseAI\, to examine how wireless power\, distributed energy intelligence\, long range connectivity\, and AI driven sensing combine to create a new generation of self powered\, resilient\, and scalable edge systems. \nWireless Power Networks Eliminate Battery Limits\nEnergous leads the discussion by presenting advances in wireless power networks. These networks remove battery limitations and support continuous sensing at the edge. Consequently\, devices can operate longer\, maintain consistent performance\, and reduce the maintenance burden that traditional battery powered systems create. \nDecentralized Energy Management Reshapes Microgrids\nHeila then demonstrates how autonomous and decentralized energy management transforms microgrids and distributed energy resources. Solar\, storage\, and EV assets work together and adapt without relying on a central controller. In turn\, this approach gives Edge AI systems the flexibility to respond to changing energy conditions in real time. \nLong Range Connectivity Strengthens Edge AI Architectures\nNewracom explains how Wi Fi HaLow delivers long range\, low power connectivity. This capability proves essential for large scale IoT deployments and forms a strong foundation for robust Edge AI architectures. Moreover\, it allows organizations to connect thousands of devices across wide areas without sacrificing power efficiency. \nIntelligent Sensing Brings Context to Raw Data\nSensitel\, powered by SenseAI\, rounds out the panel by showing how intelligent sensing\, workflow automation\, and real time analytics bring contextual awareness to the edge. As a result\, raw sensor data becomes actionable insight that supports operations\, logistics\, and safety across industries. \nWhat Attendees Will Gain\nTogether\, these four perspectives show how Edge AI moves from concept to real world deployment. The result is a class of systems that adapts more readily\, operates more sustainably\, and functions independently at scale. Attendees leave with a clear view of emerging architectures\, cross industry use cases\, and the collaborative ecosystem needed to drive the next wave of intelligent edge innovation. \n\n\n\n\n		\n	\n\n\n\n		\n	\n\n\n\n		\n	\n\n\n\n		\n	\n\n\n\n	About Sensors Converge\nSensors Converge is North America’s leading event for sensing\, processing\, connectivity\, power\, and edge AI innovation. \nDiscover more than 200 exhibitors and thousands of technologies across 50 product categories.\nHear directly from experts shaping the next generation of intelligent systems. \nProfessionals building IoT\, edge AI\, embedded systems\, or connected devices will find valuable insights and partners.\nThis is where breakthrough ideas move from concept to real-world deployment. \nJoin the engineering and technology community driving the future of connected innovation.
URL:https://wca.org/event/mobile-world-conference-2022-a-recap/
CATEGORIES:WCA Center Stage
ATTACH;FMTTYPE=image/jpeg:https://wca.org/wp-content/uploads/Thumb-MCW-Recap.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20220125T120000
DTEND;TZID=America/Los_Angeles:20220125T140000
DTSTAMP:20260618T035039
CREATED:20211207T005613Z
LAST-MODIFIED:20211207T005613Z
UID:35631-1643112000-1643119200@wca.org
SUMMARY:WCA Spectrum 2022 Event
DESCRIPTION:Edge‑AI for the Next Generation of Connected Systems						\n												\n						 The Technologies Shaping Tomorrow’s Intelligent Edge Ecosystem						\n											\n						\n					\n					\n\n\n	\nEdge AI is changing how devices sense\, think\, and act in real time. Today\, it helps systems work faster\, smarter\, and with less human support. As a result\, IoT\, industrial\, and smart infrastructure networks can do more at the edge. They can also save energy\, reduce downtime\, and respond faster to change. \nThis World of Connected AI (WCA) roundtable brings four technology leaders together. They will explore how key technologies support smarter edge systems.These include wireless power\, shared energy intelligence\, long range connectivity\, and AI driven sensing. Together\, these tools create systems that can run with greater freedom and scale.They also help build cleaner\, stronger\, and more reliable digital infrastructure. \nHow Does Wireless Power Help Edge AI Grow?\nWireless power removes many limits linked to standard batteries. Because of this\, edge devices can keep sensing without frequent battery changes. They can also work longer and deliver steady performance. This reduces service visits and lowers the cost of large device networks. \nIn addition\, wireless power supports sensors in hard to reach places. So\, teams can place devices where data matters most.This gives Edge AI systems more reach\, better uptime\, and stronger field performance. \nEdge AI and Smarter Energy Management\nDecentralized energy systems are changing how microgrids work.I nstead of relying on one main controller\, assets can share decisions. Solar panels\, storage units\, and EV chargers can adapt as conditions change. As a result\, energy networks become more flexible and more resilient. \nEdge AI adds value by helping these assets act in real time. It can track demand\, balance supply\, and support cleaner energy use. Therefore\, microgrids can respond faster while using resources more wisely. \nLong Range Connectivity Expands Edge AI Networks\nLong range\, low power wireless networks help Edge AI scale across wide areas. These networks support thousands of connected devices without heavy energy use. They also improve coverage for cities\, factories\, farms\, and remote sites. For example\, sub GHz IoT connectivity can link devices across large spaces. It gives teams reliable data without complex wiring or high power needs. As a result\, organizations can build larger and smarter edge networks. \nAI Driven Sensing Turns Data Into Action\nSmart sensing platforms help turn raw data into useful insight. They can detect changes\, spot risks\, and guide faster decisions. Because of this\, teams gain clearer visibility across daily operations. These systems also support logistics\, safety\, and industrial work. They can automate tasks\, improve alerts\, and reduce response times. Meanwhile\, real time analytics help people act before small issues grow. \nEdge AI Builds Resilient and Scalable Infrastructure\nTogether\, these technologies move Edge AI from idea to real deployment. They support systems that can adapt\, save energy\, and operate with less support. They also help industries build stronger networks for the future. Attendees will learn about new architectures and cross industry use cases. They will also see how collaboration can speed the next wave of edge innovation. With the right ecosystem\, Edge AI can power smarter\, cleaner\, and more independent systems. \n\n\n\n\n	\nHow Edge AI Is Powering Smarter\, Self-Sufficient IoT Ecosystems\nEdge AI is reshaping how devices sense\, process\, and act in real time. As a result\, it unlocks new levels of intelligence\, efficiency\, and autonomy across IoT\, industrial\, and smart infrastructure environments. This WCA roundtable brings together four technology leaders\, Energous\, Heila\, Newracom\, and Sensitel with SenseAI\, to examine how wireless power\, distributed energy intelligence\, long range connectivity\, and AI driven sensing combine to create a new generation of self powered\, resilient\, and scalable edge systems. \nWireless Power Networks Eliminate Battery Limits\nEnergous leads the discussion by presenting advances in wireless power networks. These networks remove battery limitations and support continuous sensing at the edge. Consequently\, devices can operate longer\, maintain consistent performance\, and reduce the maintenance burden that traditional battery powered systems create. \nDecentralized Energy Management Reshapes Microgrids\nHeila then demonstrates how autonomous and decentralized energy management transforms microgrids and distributed energy resources. Solar\, storage\, and EV assets work together and adapt without relying on a central controller. In turn\, this approach gives Edge AI systems the flexibility to respond to changing energy conditions in real time. \nLong Range Connectivity Strengthens Edge AI Architectures\nNewracom explains how Wi Fi HaLow delivers long range\, low power connectivity. This capability proves essential for large scale IoT deployments and forms a strong foundation for robust Edge AI architectures. Moreover\, it allows organizations to connect thousands of devices across wide areas without sacrificing power efficiency. \nIntelligent Sensing Brings Context to Raw Data\nSensitel\, powered by SenseAI\, rounds out the panel by showing how intelligent sensing\, workflow automation\, and real time analytics bring contextual awareness to the edge. As a result\, raw sensor data becomes actionable insight that supports operations\, logistics\, and safety across industries. \nWhat Attendees Will Gain\nTogether\, these four perspectives show how Edge AI moves from concept to real world deployment. The result is a class of systems that adapts more readily\, operates more sustainably\, and functions independently at scale. Attendees leave with a clear view of emerging architectures\, cross industry use cases\, and the collaborative ecosystem needed to drive the next wave of intelligent edge innovation. \n\n\n\n\n		\n	\n\n\n\n		\n	\n\n\n\n		\n	\n\n\n\n		\n	\n\n\n\n	About Sensors Converge\nSensors Converge is North America’s leading event for sensing\, processing\, connectivity\, power\, and edge AI innovation. \nDiscover more than 200 exhibitors and thousands of technologies across 50 product categories.\nHear directly from experts shaping the next generation of intelligent systems. \nProfessionals building IoT\, edge AI\, embedded systems\, or connected devices will find valuable insights and partners.\nThis is where breakthrough ideas move from concept to real-world deployment. \nJoin the engineering and technology community driving the future of connected innovation.
URL:https://wca.org/event/spectrum-2022-2/
CATEGORIES:WCA Center Stage
ATTACH;FMTTYPE=image/jpeg:https://wca.org/wp-content/uploads/Thumb_Spectrum2022.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20220125T120000
DTEND;TZID=America/Los_Angeles:20220125T140000
DTSTAMP:20260618T035039
CREATED:20211207T005613Z
LAST-MODIFIED:20220207T190646Z
UID:33465-1643112000-1643119200@wca.org
SUMMARY:WCA Spectrum 2022 Event
DESCRIPTION:Edge‑AI for the Next Generation of Connected Systems						\n												\n						 The Technologies Shaping Tomorrow’s Intelligent Edge Ecosystem						\n											\n						\n					\n					\n\n\n	\nEdge AI is changing how devices sense\, think\, and act in real time. Today\, it helps systems work faster\, smarter\, and with less human support. As a result\, IoT\, industrial\, and smart infrastructure networks can do more at the edge. They can also save energy\, reduce downtime\, and respond faster to change. \nThis World of Connected AI (WCA) roundtable brings four technology leaders together. They will explore how key technologies support smarter edge systems.These include wireless power\, shared energy intelligence\, long range connectivity\, and AI driven sensing. Together\, these tools create systems that can run with greater freedom and scale.They also help build cleaner\, stronger\, and more reliable digital infrastructure. \nHow Does Wireless Power Help Edge AI Grow?\nWireless power removes many limits linked to standard batteries. Because of this\, edge devices can keep sensing without frequent battery changes. They can also work longer and deliver steady performance. This reduces service visits and lowers the cost of large device networks. \nIn addition\, wireless power supports sensors in hard to reach places. So\, teams can place devices where data matters most.This gives Edge AI systems more reach\, better uptime\, and stronger field performance. \nEdge AI and Smarter Energy Management\nDecentralized energy systems are changing how microgrids work.I nstead of relying on one main controller\, assets can share decisions. Solar panels\, storage units\, and EV chargers can adapt as conditions change. As a result\, energy networks become more flexible and more resilient. \nEdge AI adds value by helping these assets act in real time. It can track demand\, balance supply\, and support cleaner energy use. Therefore\, microgrids can respond faster while using resources more wisely. \nLong Range Connectivity Expands Edge AI Networks\nLong range\, low power wireless networks help Edge AI scale across wide areas. These networks support thousands of connected devices without heavy energy use. They also improve coverage for cities\, factories\, farms\, and remote sites. For example\, sub GHz IoT connectivity can link devices across large spaces. It gives teams reliable data without complex wiring or high power needs. As a result\, organizations can build larger and smarter edge networks. \nAI Driven Sensing Turns Data Into Action\nSmart sensing platforms help turn raw data into useful insight. They can detect changes\, spot risks\, and guide faster decisions. Because of this\, teams gain clearer visibility across daily operations. These systems also support logistics\, safety\, and industrial work. They can automate tasks\, improve alerts\, and reduce response times. Meanwhile\, real time analytics help people act before small issues grow. \nEdge AI Builds Resilient and Scalable Infrastructure\nTogether\, these technologies move Edge AI from idea to real deployment. They support systems that can adapt\, save energy\, and operate with less support. They also help industries build stronger networks for the future. Attendees will learn about new architectures and cross industry use cases. They will also see how collaboration can speed the next wave of edge innovation. With the right ecosystem\, Edge AI can power smarter\, cleaner\, and more independent systems. \n\n\n\n\n	\nHow Edge AI Is Powering Smarter\, Self-Sufficient IoT Ecosystems\nEdge AI is reshaping how devices sense\, process\, and act in real time. As a result\, it unlocks new levels of intelligence\, efficiency\, and autonomy across IoT\, industrial\, and smart infrastructure environments. This WCA roundtable brings together four technology leaders\, Energous\, Heila\, Newracom\, and Sensitel with SenseAI\, to examine how wireless power\, distributed energy intelligence\, long range connectivity\, and AI driven sensing combine to create a new generation of self powered\, resilient\, and scalable edge systems. \nWireless Power Networks Eliminate Battery Limits\nEnergous leads the discussion by presenting advances in wireless power networks. These networks remove battery limitations and support continuous sensing at the edge. Consequently\, devices can operate longer\, maintain consistent performance\, and reduce the maintenance burden that traditional battery powered systems create. \nDecentralized Energy Management Reshapes Microgrids\nHeila then demonstrates how autonomous and decentralized energy management transforms microgrids and distributed energy resources. Solar\, storage\, and EV assets work together and adapt without relying on a central controller. In turn\, this approach gives Edge AI systems the flexibility to respond to changing energy conditions in real time. \nLong Range Connectivity Strengthens Edge AI Architectures\nNewracom explains how Wi Fi HaLow delivers long range\, low power connectivity. This capability proves essential for large scale IoT deployments and forms a strong foundation for robust Edge AI architectures. Moreover\, it allows organizations to connect thousands of devices across wide areas without sacrificing power efficiency. \nIntelligent Sensing Brings Context to Raw Data\nSensitel\, powered by SenseAI\, rounds out the panel by showing how intelligent sensing\, workflow automation\, and real time analytics bring contextual awareness to the edge. As a result\, raw sensor data becomes actionable insight that supports operations\, logistics\, and safety across industries. \nWhat Attendees Will Gain\nTogether\, these four perspectives show how Edge AI moves from concept to real world deployment. The result is a class of systems that adapts more readily\, operates more sustainably\, and functions independently at scale. Attendees leave with a clear view of emerging architectures\, cross industry use cases\, and the collaborative ecosystem needed to drive the next wave of intelligent edge innovation. \n\n\n\n\n		\n	\n\n\n\n		\n	\n\n\n\n		\n	\n\n\n\n		\n	\n\n\n\n	About Sensors Converge\nSensors Converge is North America’s leading event for sensing\, processing\, connectivity\, power\, and edge AI innovation. \nDiscover more than 200 exhibitors and thousands of technologies across 50 product categories.\nHear directly from experts shaping the next generation of intelligent systems. \nProfessionals building IoT\, edge AI\, embedded systems\, or connected devices will find valuable insights and partners.\nThis is where breakthrough ideas move from concept to real-world deployment. \nJoin the engineering and technology community driving the future of connected innovation.
URL:https://wca.org/event/spectrum-2022/
CATEGORIES:WCA Center Stage
ATTACH;FMTTYPE=image/jpeg:https://wca.org/wp-content/uploads/Thumb_Spectrum2022.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20211122T080000
DTEND;TZID=America/Los_Angeles:20211124T170000
DTSTAMP:20260618T035039
CREATED:20211102T210817Z
LAST-MODIFIED:20211102T214412Z
UID:33406-1637568000-1637773200@wca.org
SUMMARY:Industrial Transformation Asia-Pacific 2021
DESCRIPTION:Edge‑AI for the Next Generation of Connected Systems						\n												\n						 The Technologies Shaping Tomorrow’s Intelligent Edge Ecosystem						\n											\n						\n					\n					\n\n\n	\nEdge AI is changing how devices sense\, think\, and act in real time. Today\, it helps systems work faster\, smarter\, and with less human support. As a result\, IoT\, industrial\, and smart infrastructure networks can do more at the edge. They can also save energy\, reduce downtime\, and respond faster to change. \nThis World of Connected AI (WCA) roundtable brings four technology leaders together. They will explore how key technologies support smarter edge systems.These include wireless power\, shared energy intelligence\, long range connectivity\, and AI driven sensing. Together\, these tools create systems that can run with greater freedom and scale.They also help build cleaner\, stronger\, and more reliable digital infrastructure. \nHow Does Wireless Power Help Edge AI Grow?\nWireless power removes many limits linked to standard batteries. Because of this\, edge devices can keep sensing without frequent battery changes. They can also work longer and deliver steady performance. This reduces service visits and lowers the cost of large device networks. \nIn addition\, wireless power supports sensors in hard to reach places. So\, teams can place devices where data matters most.This gives Edge AI systems more reach\, better uptime\, and stronger field performance. \nEdge AI and Smarter Energy Management\nDecentralized energy systems are changing how microgrids work.I nstead of relying on one main controller\, assets can share decisions. Solar panels\, storage units\, and EV chargers can adapt as conditions change. As a result\, energy networks become more flexible and more resilient. \nEdge AI adds value by helping these assets act in real time. It can track demand\, balance supply\, and support cleaner energy use. Therefore\, microgrids can respond faster while using resources more wisely. \nLong Range Connectivity Expands Edge AI Networks\nLong range\, low power wireless networks help Edge AI scale across wide areas. These networks support thousands of connected devices without heavy energy use. They also improve coverage for cities\, factories\, farms\, and remote sites. For example\, sub GHz IoT connectivity can link devices across large spaces. It gives teams reliable data without complex wiring or high power needs. As a result\, organizations can build larger and smarter edge networks. \nAI Driven Sensing Turns Data Into Action\nSmart sensing platforms help turn raw data into useful insight. They can detect changes\, spot risks\, and guide faster decisions. Because of this\, teams gain clearer visibility across daily operations. These systems also support logistics\, safety\, and industrial work. They can automate tasks\, improve alerts\, and reduce response times. Meanwhile\, real time analytics help people act before small issues grow. \nEdge AI Builds Resilient and Scalable Infrastructure\nTogether\, these technologies move Edge AI from idea to real deployment. They support systems that can adapt\, save energy\, and operate with less support. They also help industries build stronger networks for the future. Attendees will learn about new architectures and cross industry use cases. They will also see how collaboration can speed the next wave of edge innovation. With the right ecosystem\, Edge AI can power smarter\, cleaner\, and more independent systems. \n\n\n\n\n	\nHow Edge AI Is Powering Smarter\, Self-Sufficient IoT Ecosystems\nEdge AI is reshaping how devices sense\, process\, and act in real time. As a result\, it unlocks new levels of intelligence\, efficiency\, and autonomy across IoT\, industrial\, and smart infrastructure environments. This WCA roundtable brings together four technology leaders\, Energous\, Heila\, Newracom\, and Sensitel with SenseAI\, to examine how wireless power\, distributed energy intelligence\, long range connectivity\, and AI driven sensing combine to create a new generation of self powered\, resilient\, and scalable edge systems. \nWireless Power Networks Eliminate Battery Limits\nEnergous leads the discussion by presenting advances in wireless power networks. These networks remove battery limitations and support continuous sensing at the edge. Consequently\, devices can operate longer\, maintain consistent performance\, and reduce the maintenance burden that traditional battery powered systems create. \nDecentralized Energy Management Reshapes Microgrids\nHeila then demonstrates how autonomous and decentralized energy management transforms microgrids and distributed energy resources. Solar\, storage\, and EV assets work together and adapt without relying on a central controller. In turn\, this approach gives Edge AI systems the flexibility to respond to changing energy conditions in real time. \nLong Range Connectivity Strengthens Edge AI Architectures\nNewracom explains how Wi Fi HaLow delivers long range\, low power connectivity. This capability proves essential for large scale IoT deployments and forms a strong foundation for robust Edge AI architectures. Moreover\, it allows organizations to connect thousands of devices across wide areas without sacrificing power efficiency. \nIntelligent Sensing Brings Context to Raw Data\nSensitel\, powered by SenseAI\, rounds out the panel by showing how intelligent sensing\, workflow automation\, and real time analytics bring contextual awareness to the edge. As a result\, raw sensor data becomes actionable insight that supports operations\, logistics\, and safety across industries. \nWhat Attendees Will Gain\nTogether\, these four perspectives show how Edge AI moves from concept to real world deployment. The result is a class of systems that adapts more readily\, operates more sustainably\, and functions independently at scale. Attendees leave with a clear view of emerging architectures\, cross industry use cases\, and the collaborative ecosystem needed to drive the next wave of intelligent edge innovation. \n\n\n\n\n		\n	\n\n\n\n		\n	\n\n\n\n		\n	\n\n\n\n		\n	\n\n\n\n	About Sensors Converge\nSensors Converge is North America’s leading event for sensing\, processing\, connectivity\, power\, and edge AI innovation. \nDiscover more than 200 exhibitors and thousands of technologies across 50 product categories.\nHear directly from experts shaping the next generation of intelligent systems. \nProfessionals building IoT\, edge AI\, embedded systems\, or connected devices will find valuable insights and partners.\nThis is where breakthrough ideas move from concept to real-world deployment. \nJoin the engineering and technology community driving the future of connected innovation.
URL:https://wca.org/event/industrial-transformation-asia-pacific-2021/
CATEGORIES:Partner Events
ATTACH;FMTTYPE=image/jpeg:https://wca.org/wp-content/uploads/Thumb_AzbilEvent2021.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20211118T160000
DTEND;TZID=America/Los_Angeles:20211118T173000
DTSTAMP:20260618T035039
CREATED:20211031T030242Z
LAST-MODIFIED:20211115T225139Z
UID:33370-1637251200-1637256600@wca.org
SUMMARY:WCA's 22nd Annual What's Hot (and What's Not) VC and M&A Panel
DESCRIPTION:Edge‑AI for the Next Generation of Connected Systems						\n												\n						 The Technologies Shaping Tomorrow’s Intelligent Edge Ecosystem						\n											\n						\n					\n					\n\n\n	\nEdge AI is changing how devices sense\, think\, and act in real time. Today\, it helps systems work faster\, smarter\, and with less human support. As a result\, IoT\, industrial\, and smart infrastructure networks can do more at the edge. They can also save energy\, reduce downtime\, and respond faster to change. \nThis World of Connected AI (WCA) roundtable brings four technology leaders together. They will explore how key technologies support smarter edge systems.These include wireless power\, shared energy intelligence\, long range connectivity\, and AI driven sensing. Together\, these tools create systems that can run with greater freedom and scale.They also help build cleaner\, stronger\, and more reliable digital infrastructure. \nHow Does Wireless Power Help Edge AI Grow?\nWireless power removes many limits linked to standard batteries. Because of this\, edge devices can keep sensing without frequent battery changes. They can also work longer and deliver steady performance. This reduces service visits and lowers the cost of large device networks. \nIn addition\, wireless power supports sensors in hard to reach places. So\, teams can place devices where data matters most.This gives Edge AI systems more reach\, better uptime\, and stronger field performance. \nEdge AI and Smarter Energy Management\nDecentralized energy systems are changing how microgrids work.I nstead of relying on one main controller\, assets can share decisions. Solar panels\, storage units\, and EV chargers can adapt as conditions change. As a result\, energy networks become more flexible and more resilient. \nEdge AI adds value by helping these assets act in real time. It can track demand\, balance supply\, and support cleaner energy use. Therefore\, microgrids can respond faster while using resources more wisely. \nLong Range Connectivity Expands Edge AI Networks\nLong range\, low power wireless networks help Edge AI scale across wide areas. These networks support thousands of connected devices without heavy energy use. They also improve coverage for cities\, factories\, farms\, and remote sites. For example\, sub GHz IoT connectivity can link devices across large spaces. It gives teams reliable data without complex wiring or high power needs. As a result\, organizations can build larger and smarter edge networks. \nAI Driven Sensing Turns Data Into Action\nSmart sensing platforms help turn raw data into useful insight. They can detect changes\, spot risks\, and guide faster decisions. Because of this\, teams gain clearer visibility across daily operations. These systems also support logistics\, safety\, and industrial work. They can automate tasks\, improve alerts\, and reduce response times. Meanwhile\, real time analytics help people act before small issues grow. \nEdge AI Builds Resilient and Scalable Infrastructure\nTogether\, these technologies move Edge AI from idea to real deployment. They support systems that can adapt\, save energy\, and operate with less support. They also help industries build stronger networks for the future. Attendees will learn about new architectures and cross industry use cases. They will also see how collaboration can speed the next wave of edge innovation. With the right ecosystem\, Edge AI can power smarter\, cleaner\, and more independent systems. \n\n\n\n\n	\nHow Edge AI Is Powering Smarter\, Self-Sufficient IoT Ecosystems\nEdge AI is reshaping how devices sense\, process\, and act in real time. As a result\, it unlocks new levels of intelligence\, efficiency\, and autonomy across IoT\, industrial\, and smart infrastructure environments. This WCA roundtable brings together four technology leaders\, Energous\, Heila\, Newracom\, and Sensitel with SenseAI\, to examine how wireless power\, distributed energy intelligence\, long range connectivity\, and AI driven sensing combine to create a new generation of self powered\, resilient\, and scalable edge systems. \nWireless Power Networks Eliminate Battery Limits\nEnergous leads the discussion by presenting advances in wireless power networks. These networks remove battery limitations and support continuous sensing at the edge. Consequently\, devices can operate longer\, maintain consistent performance\, and reduce the maintenance burden that traditional battery powered systems create. \nDecentralized Energy Management Reshapes Microgrids\nHeila then demonstrates how autonomous and decentralized energy management transforms microgrids and distributed energy resources. Solar\, storage\, and EV assets work together and adapt without relying on a central controller. In turn\, this approach gives Edge AI systems the flexibility to respond to changing energy conditions in real time. \nLong Range Connectivity Strengthens Edge AI Architectures\nNewracom explains how Wi Fi HaLow delivers long range\, low power connectivity. This capability proves essential for large scale IoT deployments and forms a strong foundation for robust Edge AI architectures. Moreover\, it allows organizations to connect thousands of devices across wide areas without sacrificing power efficiency. \nIntelligent Sensing Brings Context to Raw Data\nSensitel\, powered by SenseAI\, rounds out the panel by showing how intelligent sensing\, workflow automation\, and real time analytics bring contextual awareness to the edge. As a result\, raw sensor data becomes actionable insight that supports operations\, logistics\, and safety across industries. \nWhat Attendees Will Gain\nTogether\, these four perspectives show how Edge AI moves from concept to real world deployment. The result is a class of systems that adapts more readily\, operates more sustainably\, and functions independently at scale. Attendees leave with a clear view of emerging architectures\, cross industry use cases\, and the collaborative ecosystem needed to drive the next wave of intelligent edge innovation. \n\n\n\n\n		\n	\n\n\n\n		\n	\n\n\n\n		\n	\n\n\n\n		\n	\n\n\n\n	About Sensors Converge\nSensors Converge is North America’s leading event for sensing\, processing\, connectivity\, power\, and edge AI innovation. \nDiscover more than 200 exhibitors and thousands of technologies across 50 product categories.\nHear directly from experts shaping the next generation of intelligent systems. \nProfessionals building IoT\, edge AI\, embedded systems\, or connected devices will find valuable insights and partners.\nThis is where breakthrough ideas move from concept to real-world deployment. \nJoin the engineering and technology community driving the future of connected innovation.
URL:https://wca.org/event/wcas-22nd-annual-whats-hot-and-whats-not-vc-and-ma-panel/
CATEGORIES:WCA Center Stage
ATTACH;FMTTYPE=image/webp:https://wca.org/wp-content/uploads/Thumb_whatsHot1.webp
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20211115T083000
DTEND;TZID=America/Los_Angeles:20211116T160000
DTSTAMP:20260618T035039
CREATED:20210903T233113Z
LAST-MODIFIED:20211009T021755Z
UID:33056-1636965000-1637078400@wca.org
SUMMARY:Telecom Council 3 Carrier Connections 2021
DESCRIPTION:Edge‑AI for the Next Generation of Connected Systems						\n												\n						 The Technologies Shaping Tomorrow’s Intelligent Edge Ecosystem						\n											\n						\n					\n					\n\n\n	\nEdge AI is changing how devices sense\, think\, and act in real time. Today\, it helps systems work faster\, smarter\, and with less human support. As a result\, IoT\, industrial\, and smart infrastructure networks can do more at the edge. They can also save energy\, reduce downtime\, and respond faster to change. \nThis World of Connected AI (WCA) roundtable brings four technology leaders together. They will explore how key technologies support smarter edge systems.These include wireless power\, shared energy intelligence\, long range connectivity\, and AI driven sensing. Together\, these tools create systems that can run with greater freedom and scale.They also help build cleaner\, stronger\, and more reliable digital infrastructure. \nHow Does Wireless Power Help Edge AI Grow?\nWireless power removes many limits linked to standard batteries. Because of this\, edge devices can keep sensing without frequent battery changes. They can also work longer and deliver steady performance. This reduces service visits and lowers the cost of large device networks. \nIn addition\, wireless power supports sensors in hard to reach places. So\, teams can place devices where data matters most.This gives Edge AI systems more reach\, better uptime\, and stronger field performance. \nEdge AI and Smarter Energy Management\nDecentralized energy systems are changing how microgrids work.I nstead of relying on one main controller\, assets can share decisions. Solar panels\, storage units\, and EV chargers can adapt as conditions change. As a result\, energy networks become more flexible and more resilient. \nEdge AI adds value by helping these assets act in real time. It can track demand\, balance supply\, and support cleaner energy use. Therefore\, microgrids can respond faster while using resources more wisely. \nLong Range Connectivity Expands Edge AI Networks\nLong range\, low power wireless networks help Edge AI scale across wide areas. These networks support thousands of connected devices without heavy energy use. They also improve coverage for cities\, factories\, farms\, and remote sites. For example\, sub GHz IoT connectivity can link devices across large spaces. It gives teams reliable data without complex wiring or high power needs. As a result\, organizations can build larger and smarter edge networks. \nAI Driven Sensing Turns Data Into Action\nSmart sensing platforms help turn raw data into useful insight. They can detect changes\, spot risks\, and guide faster decisions. Because of this\, teams gain clearer visibility across daily operations. These systems also support logistics\, safety\, and industrial work. They can automate tasks\, improve alerts\, and reduce response times. Meanwhile\, real time analytics help people act before small issues grow. \nEdge AI Builds Resilient and Scalable Infrastructure\nTogether\, these technologies move Edge AI from idea to real deployment. They support systems that can adapt\, save energy\, and operate with less support. They also help industries build stronger networks for the future. Attendees will learn about new architectures and cross industry use cases. They will also see how collaboration can speed the next wave of edge innovation. With the right ecosystem\, Edge AI can power smarter\, cleaner\, and more independent systems. \n\n\n\n\n	\nHow Edge AI Is Powering Smarter\, Self-Sufficient IoT Ecosystems\nEdge AI is reshaping how devices sense\, process\, and act in real time. As a result\, it unlocks new levels of intelligence\, efficiency\, and autonomy across IoT\, industrial\, and smart infrastructure environments. This WCA roundtable brings together four technology leaders\, Energous\, Heila\, Newracom\, and Sensitel with SenseAI\, to examine how wireless power\, distributed energy intelligence\, long range connectivity\, and AI driven sensing combine to create a new generation of self powered\, resilient\, and scalable edge systems. \nWireless Power Networks Eliminate Battery Limits\nEnergous leads the discussion by presenting advances in wireless power networks. These networks remove battery limitations and support continuous sensing at the edge. Consequently\, devices can operate longer\, maintain consistent performance\, and reduce the maintenance burden that traditional battery powered systems create. \nDecentralized Energy Management Reshapes Microgrids\nHeila then demonstrates how autonomous and decentralized energy management transforms microgrids and distributed energy resources. Solar\, storage\, and EV assets work together and adapt without relying on a central controller. In turn\, this approach gives Edge AI systems the flexibility to respond to changing energy conditions in real time. \nLong Range Connectivity Strengthens Edge AI Architectures\nNewracom explains how Wi Fi HaLow delivers long range\, low power connectivity. This capability proves essential for large scale IoT deployments and forms a strong foundation for robust Edge AI architectures. Moreover\, it allows organizations to connect thousands of devices across wide areas without sacrificing power efficiency. \nIntelligent Sensing Brings Context to Raw Data\nSensitel\, powered by SenseAI\, rounds out the panel by showing how intelligent sensing\, workflow automation\, and real time analytics bring contextual awareness to the edge. As a result\, raw sensor data becomes actionable insight that supports operations\, logistics\, and safety across industries. \nWhat Attendees Will Gain\nTogether\, these four perspectives show how Edge AI moves from concept to real world deployment. The result is a class of systems that adapts more readily\, operates more sustainably\, and functions independently at scale. Attendees leave with a clear view of emerging architectures\, cross industry use cases\, and the collaborative ecosystem needed to drive the next wave of intelligent edge innovation. \n\n\n\n\n		\n	\n\n\n\n		\n	\n\n\n\n		\n	\n\n\n\n		\n	\n\n\n\n	About Sensors Converge\nSensors Converge is North America’s leading event for sensing\, processing\, connectivity\, power\, and edge AI innovation. \nDiscover more than 200 exhibitors and thousands of technologies across 50 product categories.\nHear directly from experts shaping the next generation of intelligent systems. \nProfessionals building IoT\, edge AI\, embedded systems\, or connected devices will find valuable insights and partners.\nThis is where breakthrough ideas move from concept to real-world deployment. \nJoin the engineering and technology community driving the future of connected innovation.
URL:https://wca.org/event/tc3-carrier-connections-2021/
CATEGORIES:Partner Events
ATTACH;FMTTYPE=image/webp:https://wca.org/wp-content/uploads/Thumb_TC3CarrierConnections.webp
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20211111T133000
DTEND;TZID=America/Los_Angeles:20211111T150000
DTSTAMP:20260618T035039
CREATED:20211023T013201Z
LAST-MODIFIED:20211113T000156Z
UID:33310-1636637400-1636642800@wca.org
SUMMARY:Building a Global Decentralized Wireless Network with LoRaWAN
DESCRIPTION:Edge‑AI for the Next Generation of Connected Systems						\n												\n						 The Technologies Shaping Tomorrow’s Intelligent Edge Ecosystem						\n											\n						\n					\n					\n\n\n	\nEdge AI is changing how devices sense\, think\, and act in real time. Today\, it helps systems work faster\, smarter\, and with less human support. As a result\, IoT\, industrial\, and smart infrastructure networks can do more at the edge. They can also save energy\, reduce downtime\, and respond faster to change. \nThis World of Connected AI (WCA) roundtable brings four technology leaders together. They will explore how key technologies support smarter edge systems.These include wireless power\, shared energy intelligence\, long range connectivity\, and AI driven sensing. Together\, these tools create systems that can run with greater freedom and scale.They also help build cleaner\, stronger\, and more reliable digital infrastructure. \nHow Does Wireless Power Help Edge AI Grow?\nWireless power removes many limits linked to standard batteries. Because of this\, edge devices can keep sensing without frequent battery changes. They can also work longer and deliver steady performance. This reduces service visits and lowers the cost of large device networks. \nIn addition\, wireless power supports sensors in hard to reach places. So\, teams can place devices where data matters most.This gives Edge AI systems more reach\, better uptime\, and stronger field performance. \nEdge AI and Smarter Energy Management\nDecentralized energy systems are changing how microgrids work.I nstead of relying on one main controller\, assets can share decisions. Solar panels\, storage units\, and EV chargers can adapt as conditions change. As a result\, energy networks become more flexible and more resilient. \nEdge AI adds value by helping these assets act in real time. It can track demand\, balance supply\, and support cleaner energy use. Therefore\, microgrids can respond faster while using resources more wisely. \nLong Range Connectivity Expands Edge AI Networks\nLong range\, low power wireless networks help Edge AI scale across wide areas. These networks support thousands of connected devices without heavy energy use. They also improve coverage for cities\, factories\, farms\, and remote sites. For example\, sub GHz IoT connectivity can link devices across large spaces. It gives teams reliable data without complex wiring or high power needs. As a result\, organizations can build larger and smarter edge networks. \nAI Driven Sensing Turns Data Into Action\nSmart sensing platforms help turn raw data into useful insight. They can detect changes\, spot risks\, and guide faster decisions. Because of this\, teams gain clearer visibility across daily operations. These systems also support logistics\, safety\, and industrial work. They can automate tasks\, improve alerts\, and reduce response times. Meanwhile\, real time analytics help people act before small issues grow. \nEdge AI Builds Resilient and Scalable Infrastructure\nTogether\, these technologies move Edge AI from idea to real deployment. They support systems that can adapt\, save energy\, and operate with less support. They also help industries build stronger networks for the future. Attendees will learn about new architectures and cross industry use cases. They will also see how collaboration can speed the next wave of edge innovation. With the right ecosystem\, Edge AI can power smarter\, cleaner\, and more independent systems. \n\n\n\n\n	\nHow Edge AI Is Powering Smarter\, Self-Sufficient IoT Ecosystems\nEdge AI is reshaping how devices sense\, process\, and act in real time. As a result\, it unlocks new levels of intelligence\, efficiency\, and autonomy across IoT\, industrial\, and smart infrastructure environments. This WCA roundtable brings together four technology leaders\, Energous\, Heila\, Newracom\, and Sensitel with SenseAI\, to examine how wireless power\, distributed energy intelligence\, long range connectivity\, and AI driven sensing combine to create a new generation of self powered\, resilient\, and scalable edge systems. \nWireless Power Networks Eliminate Battery Limits\nEnergous leads the discussion by presenting advances in wireless power networks. These networks remove battery limitations and support continuous sensing at the edge. Consequently\, devices can operate longer\, maintain consistent performance\, and reduce the maintenance burden that traditional battery powered systems create. \nDecentralized Energy Management Reshapes Microgrids\nHeila then demonstrates how autonomous and decentralized energy management transforms microgrids and distributed energy resources. Solar\, storage\, and EV assets work together and adapt without relying on a central controller. In turn\, this approach gives Edge AI systems the flexibility to respond to changing energy conditions in real time. \nLong Range Connectivity Strengthens Edge AI Architectures\nNewracom explains how Wi Fi HaLow delivers long range\, low power connectivity. This capability proves essential for large scale IoT deployments and forms a strong foundation for robust Edge AI architectures. Moreover\, it allows organizations to connect thousands of devices across wide areas without sacrificing power efficiency. \nIntelligent Sensing Brings Context to Raw Data\nSensitel\, powered by SenseAI\, rounds out the panel by showing how intelligent sensing\, workflow automation\, and real time analytics bring contextual awareness to the edge. As a result\, raw sensor data becomes actionable insight that supports operations\, logistics\, and safety across industries. \nWhat Attendees Will Gain\nTogether\, these four perspectives show how Edge AI moves from concept to real world deployment. The result is a class of systems that adapts more readily\, operates more sustainably\, and functions independently at scale. Attendees leave with a clear view of emerging architectures\, cross industry use cases\, and the collaborative ecosystem needed to drive the next wave of intelligent edge innovation. \n\n\n\n\n		\n	\n\n\n\n		\n	\n\n\n\n		\n	\n\n\n\n		\n	\n\n\n\n	About Sensors Converge\nSensors Converge is North America’s leading event for sensing\, processing\, connectivity\, power\, and edge AI innovation. \nDiscover more than 200 exhibitors and thousands of technologies across 50 product categories.\nHear directly from experts shaping the next generation of intelligent systems. \nProfessionals building IoT\, edge AI\, embedded systems\, or connected devices will find valuable insights and partners.\nThis is where breakthrough ideas move from concept to real-world deployment. \nJoin the engineering and technology community driving the future of connected innovation.
URL:https://wca.org/event/building-a-global-decentralized-wireless-network-with-lorawan/
CATEGORIES:WCA Center Stage
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20211106T090000
DTEND;TZID=America/Los_Angeles:20211106T160000
DTSTAMP:20260618T035039
CREATED:20211025T192713Z
LAST-MODIFIED:20211025T193120Z
UID:33312-1636189200-1636214400@wca.org
SUMMARY:OPEN SV Annual Forum 2021
DESCRIPTION:Edge‑AI for the Next Generation of Connected Systems						\n												\n						 The Technologies Shaping Tomorrow’s Intelligent Edge Ecosystem						\n											\n						\n					\n					\n\n\n	\nEdge AI is changing how devices sense\, think\, and act in real time. Today\, it helps systems work faster\, smarter\, and with less human support. As a result\, IoT\, industrial\, and smart infrastructure networks can do more at the edge. They can also save energy\, reduce downtime\, and respond faster to change. \nThis World of Connected AI (WCA) roundtable brings four technology leaders together. They will explore how key technologies support smarter edge systems.These include wireless power\, shared energy intelligence\, long range connectivity\, and AI driven sensing. Together\, these tools create systems that can run with greater freedom and scale.They also help build cleaner\, stronger\, and more reliable digital infrastructure. \nHow Does Wireless Power Help Edge AI Grow?\nWireless power removes many limits linked to standard batteries. Because of this\, edge devices can keep sensing without frequent battery changes. They can also work longer and deliver steady performance. This reduces service visits and lowers the cost of large device networks. \nIn addition\, wireless power supports sensors in hard to reach places. So\, teams can place devices where data matters most.This gives Edge AI systems more reach\, better uptime\, and stronger field performance. \nEdge AI and Smarter Energy Management\nDecentralized energy systems are changing how microgrids work.I nstead of relying on one main controller\, assets can share decisions. Solar panels\, storage units\, and EV chargers can adapt as conditions change. As a result\, energy networks become more flexible and more resilient. \nEdge AI adds value by helping these assets act in real time. It can track demand\, balance supply\, and support cleaner energy use. Therefore\, microgrids can respond faster while using resources more wisely. \nLong Range Connectivity Expands Edge AI Networks\nLong range\, low power wireless networks help Edge AI scale across wide areas. These networks support thousands of connected devices without heavy energy use. They also improve coverage for cities\, factories\, farms\, and remote sites. For example\, sub GHz IoT connectivity can link devices across large spaces. It gives teams reliable data without complex wiring or high power needs. As a result\, organizations can build larger and smarter edge networks. \nAI Driven Sensing Turns Data Into Action\nSmart sensing platforms help turn raw data into useful insight. They can detect changes\, spot risks\, and guide faster decisions. Because of this\, teams gain clearer visibility across daily operations. These systems also support logistics\, safety\, and industrial work. They can automate tasks\, improve alerts\, and reduce response times. Meanwhile\, real time analytics help people act before small issues grow. \nEdge AI Builds Resilient and Scalable Infrastructure\nTogether\, these technologies move Edge AI from idea to real deployment. They support systems that can adapt\, save energy\, and operate with less support. They also help industries build stronger networks for the future. Attendees will learn about new architectures and cross industry use cases. They will also see how collaboration can speed the next wave of edge innovation. With the right ecosystem\, Edge AI can power smarter\, cleaner\, and more independent systems. \n\n\n\n\n	\nHow Edge AI Is Powering Smarter\, Self-Sufficient IoT Ecosystems\nEdge AI is reshaping how devices sense\, process\, and act in real time. As a result\, it unlocks new levels of intelligence\, efficiency\, and autonomy across IoT\, industrial\, and smart infrastructure environments. This WCA roundtable brings together four technology leaders\, Energous\, Heila\, Newracom\, and Sensitel with SenseAI\, to examine how wireless power\, distributed energy intelligence\, long range connectivity\, and AI driven sensing combine to create a new generation of self powered\, resilient\, and scalable edge systems. \nWireless Power Networks Eliminate Battery Limits\nEnergous leads the discussion by presenting advances in wireless power networks. These networks remove battery limitations and support continuous sensing at the edge. Consequently\, devices can operate longer\, maintain consistent performance\, and reduce the maintenance burden that traditional battery powered systems create. \nDecentralized Energy Management Reshapes Microgrids\nHeila then demonstrates how autonomous and decentralized energy management transforms microgrids and distributed energy resources. Solar\, storage\, and EV assets work together and adapt without relying on a central controller. In turn\, this approach gives Edge AI systems the flexibility to respond to changing energy conditions in real time. \nLong Range Connectivity Strengthens Edge AI Architectures\nNewracom explains how Wi Fi HaLow delivers long range\, low power connectivity. This capability proves essential for large scale IoT deployments and forms a strong foundation for robust Edge AI architectures. Moreover\, it allows organizations to connect thousands of devices across wide areas without sacrificing power efficiency. \nIntelligent Sensing Brings Context to Raw Data\nSensitel\, powered by SenseAI\, rounds out the panel by showing how intelligent sensing\, workflow automation\, and real time analytics bring contextual awareness to the edge. As a result\, raw sensor data becomes actionable insight that supports operations\, logistics\, and safety across industries. \nWhat Attendees Will Gain\nTogether\, these four perspectives show how Edge AI moves from concept to real world deployment. The result is a class of systems that adapts more readily\, operates more sustainably\, and functions independently at scale. Attendees leave with a clear view of emerging architectures\, cross industry use cases\, and the collaborative ecosystem needed to drive the next wave of intelligent edge innovation. \n\n\n\n\n		\n	\n\n\n\n		\n	\n\n\n\n		\n	\n\n\n\n		\n	\n\n\n\n	About Sensors Converge\nSensors Converge is North America’s leading event for sensing\, processing\, connectivity\, power\, and edge AI innovation. \nDiscover more than 200 exhibitors and thousands of technologies across 50 product categories.\nHear directly from experts shaping the next generation of intelligent systems. \nProfessionals building IoT\, edge AI\, embedded systems\, or connected devices will find valuable insights and partners.\nThis is where breakthrough ideas move from concept to real-world deployment. \nJoin the engineering and technology community driving the future of connected innovation.
URL:https://wca.org/event/open-sv-annual-forum-2021/
LOCATION:Santa Clara Convention Center 5001 Great America Pkwy\, Santa Clara\, CA 95054
CATEGORIES:Partner Events
ATTACH;FMTTYPE=image/jpeg:https://wca.org/wp-content/uploads/Thumb_OpenSV.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20211028T090000
DTEND;TZID=America/Los_Angeles:20211028T110000
DTSTAMP:20260618T035039
CREATED:20210514T221855Z
LAST-MODIFIED:20211110T173446Z
UID:3159-1635411600-1635418800@wca.org
SUMMARY:OpenWiFi - The Next Wi-Fi Revolution 2021
DESCRIPTION:Edge‑AI for the Next Generation of Connected Systems						\n												\n						 The Technologies Shaping Tomorrow’s Intelligent Edge Ecosystem						\n											\n						\n					\n					\n\n\n	\nEdge AI is changing how devices sense\, think\, and act in real time. Today\, it helps systems work faster\, smarter\, and with less human support. As a result\, IoT\, industrial\, and smart infrastructure networks can do more at the edge. They can also save energy\, reduce downtime\, and respond faster to change. \nThis World of Connected AI (WCA) roundtable brings four technology leaders together. They will explore how key technologies support smarter edge systems.These include wireless power\, shared energy intelligence\, long range connectivity\, and AI driven sensing. Together\, these tools create systems that can run with greater freedom and scale.They also help build cleaner\, stronger\, and more reliable digital infrastructure. \nHow Does Wireless Power Help Edge AI Grow?\nWireless power removes many limits linked to standard batteries. Because of this\, edge devices can keep sensing without frequent battery changes. They can also work longer and deliver steady performance. This reduces service visits and lowers the cost of large device networks. \nIn addition\, wireless power supports sensors in hard to reach places. So\, teams can place devices where data matters most.This gives Edge AI systems more reach\, better uptime\, and stronger field performance. \nEdge AI and Smarter Energy Management\nDecentralized energy systems are changing how microgrids work.I nstead of relying on one main controller\, assets can share decisions. Solar panels\, storage units\, and EV chargers can adapt as conditions change. As a result\, energy networks become more flexible and more resilient. \nEdge AI adds value by helping these assets act in real time. It can track demand\, balance supply\, and support cleaner energy use. Therefore\, microgrids can respond faster while using resources more wisely. \nLong Range Connectivity Expands Edge AI Networks\nLong range\, low power wireless networks help Edge AI scale across wide areas. These networks support thousands of connected devices without heavy energy use. They also improve coverage for cities\, factories\, farms\, and remote sites. For example\, sub GHz IoT connectivity can link devices across large spaces. It gives teams reliable data without complex wiring or high power needs. As a result\, organizations can build larger and smarter edge networks. \nAI Driven Sensing Turns Data Into Action\nSmart sensing platforms help turn raw data into useful insight. They can detect changes\, spot risks\, and guide faster decisions. Because of this\, teams gain clearer visibility across daily operations. These systems also support logistics\, safety\, and industrial work. They can automate tasks\, improve alerts\, and reduce response times. Meanwhile\, real time analytics help people act before small issues grow. \nEdge AI Builds Resilient and Scalable Infrastructure\nTogether\, these technologies move Edge AI from idea to real deployment. They support systems that can adapt\, save energy\, and operate with less support. They also help industries build stronger networks for the future. Attendees will learn about new architectures and cross industry use cases. They will also see how collaboration can speed the next wave of edge innovation. With the right ecosystem\, Edge AI can power smarter\, cleaner\, and more independent systems. \n\n\n\n\n	\nHow Edge AI Is Powering Smarter\, Self-Sufficient IoT Ecosystems\nEdge AI is reshaping how devices sense\, process\, and act in real time. As a result\, it unlocks new levels of intelligence\, efficiency\, and autonomy across IoT\, industrial\, and smart infrastructure environments. This WCA roundtable brings together four technology leaders\, Energous\, Heila\, Newracom\, and Sensitel with SenseAI\, to examine how wireless power\, distributed energy intelligence\, long range connectivity\, and AI driven sensing combine to create a new generation of self powered\, resilient\, and scalable edge systems. \nWireless Power Networks Eliminate Battery Limits\nEnergous leads the discussion by presenting advances in wireless power networks. These networks remove battery limitations and support continuous sensing at the edge. Consequently\, devices can operate longer\, maintain consistent performance\, and reduce the maintenance burden that traditional battery powered systems create. \nDecentralized Energy Management Reshapes Microgrids\nHeila then demonstrates how autonomous and decentralized energy management transforms microgrids and distributed energy resources. Solar\, storage\, and EV assets work together and adapt without relying on a central controller. In turn\, this approach gives Edge AI systems the flexibility to respond to changing energy conditions in real time. \nLong Range Connectivity Strengthens Edge AI Architectures\nNewracom explains how Wi Fi HaLow delivers long range\, low power connectivity. This capability proves essential for large scale IoT deployments and forms a strong foundation for robust Edge AI architectures. Moreover\, it allows organizations to connect thousands of devices across wide areas without sacrificing power efficiency. \nIntelligent Sensing Brings Context to Raw Data\nSensitel\, powered by SenseAI\, rounds out the panel by showing how intelligent sensing\, workflow automation\, and real time analytics bring contextual awareness to the edge. As a result\, raw sensor data becomes actionable insight that supports operations\, logistics\, and safety across industries. \nWhat Attendees Will Gain\nTogether\, these four perspectives show how Edge AI moves from concept to real world deployment. The result is a class of systems that adapts more readily\, operates more sustainably\, and functions independently at scale. Attendees leave with a clear view of emerging architectures\, cross industry use cases\, and the collaborative ecosystem needed to drive the next wave of intelligent edge innovation. \n\n\n\n\n		\n	\n\n\n\n		\n	\n\n\n\n		\n	\n\n\n\n		\n	\n\n\n\n	About Sensors Converge\nSensors Converge is North America’s leading event for sensing\, processing\, connectivity\, power\, and edge AI innovation. \nDiscover more than 200 exhibitors and thousands of technologies across 50 product categories.\nHear directly from experts shaping the next generation of intelligent systems. \nProfessionals building IoT\, edge AI\, embedded systems\, or connected devices will find valuable insights and partners.\nThis is where breakthrough ideas move from concept to real-world deployment. \nJoin the engineering and technology community driving the future of connected innovation.
URL:https://wca.org/event/open-wifi-the-next-wi-fi-revolution/
CATEGORIES:WCA Center Stage
ATTACH;FMTTYPE=image/jpeg:https://wca.org/wp-content/uploads/ThumbnailOpenWifi150x.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20211012T090000
DTEND;TZID=America/Los_Angeles:20211012T100000
DTSTAMP:20260618T035039
CREATED:20210922T202425Z
LAST-MODIFIED:20210922T202722Z
UID:33141-1634029200-1634032800@wca.org
SUMMARY:Launch of The Silicon Valley Poll
DESCRIPTION:Edge‑AI for the Next Generation of Connected Systems						\n												\n						 The Technologies Shaping Tomorrow’s Intelligent Edge Ecosystem						\n											\n						\n					\n					\n\n\n	\nEdge AI is changing how devices sense\, think\, and act in real time. Today\, it helps systems work faster\, smarter\, and with less human support. As a result\, IoT\, industrial\, and smart infrastructure networks can do more at the edge. They can also save energy\, reduce downtime\, and respond faster to change. \nThis World of Connected AI (WCA) roundtable brings four technology leaders together. They will explore how key technologies support smarter edge systems.These include wireless power\, shared energy intelligence\, long range connectivity\, and AI driven sensing. Together\, these tools create systems that can run with greater freedom and scale.They also help build cleaner\, stronger\, and more reliable digital infrastructure. \nHow Does Wireless Power Help Edge AI Grow?\nWireless power removes many limits linked to standard batteries. Because of this\, edge devices can keep sensing without frequent battery changes. They can also work longer and deliver steady performance. This reduces service visits and lowers the cost of large device networks. \nIn addition\, wireless power supports sensors in hard to reach places. So\, teams can place devices where data matters most.This gives Edge AI systems more reach\, better uptime\, and stronger field performance. \nEdge AI and Smarter Energy Management\nDecentralized energy systems are changing how microgrids work.I nstead of relying on one main controller\, assets can share decisions. Solar panels\, storage units\, and EV chargers can adapt as conditions change. As a result\, energy networks become more flexible and more resilient. \nEdge AI adds value by helping these assets act in real time. It can track demand\, balance supply\, and support cleaner energy use. Therefore\, microgrids can respond faster while using resources more wisely. \nLong Range Connectivity Expands Edge AI Networks\nLong range\, low power wireless networks help Edge AI scale across wide areas. These networks support thousands of connected devices without heavy energy use. They also improve coverage for cities\, factories\, farms\, and remote sites. For example\, sub GHz IoT connectivity can link devices across large spaces. It gives teams reliable data without complex wiring or high power needs. As a result\, organizations can build larger and smarter edge networks. \nAI Driven Sensing Turns Data Into Action\nSmart sensing platforms help turn raw data into useful insight. They can detect changes\, spot risks\, and guide faster decisions. Because of this\, teams gain clearer visibility across daily operations. These systems also support logistics\, safety\, and industrial work. They can automate tasks\, improve alerts\, and reduce response times. Meanwhile\, real time analytics help people act before small issues grow. \nEdge AI Builds Resilient and Scalable Infrastructure\nTogether\, these technologies move Edge AI from idea to real deployment. They support systems that can adapt\, save energy\, and operate with less support. They also help industries build stronger networks for the future. Attendees will learn about new architectures and cross industry use cases. They will also see how collaboration can speed the next wave of edge innovation. With the right ecosystem\, Edge AI can power smarter\, cleaner\, and more independent systems. \n\n\n\n\n	\nHow Edge AI Is Powering Smarter\, Self-Sufficient IoT Ecosystems\nEdge AI is reshaping how devices sense\, process\, and act in real time. As a result\, it unlocks new levels of intelligence\, efficiency\, and autonomy across IoT\, industrial\, and smart infrastructure environments. This WCA roundtable brings together four technology leaders\, Energous\, Heila\, Newracom\, and Sensitel with SenseAI\, to examine how wireless power\, distributed energy intelligence\, long range connectivity\, and AI driven sensing combine to create a new generation of self powered\, resilient\, and scalable edge systems. \nWireless Power Networks Eliminate Battery Limits\nEnergous leads the discussion by presenting advances in wireless power networks. These networks remove battery limitations and support continuous sensing at the edge. Consequently\, devices can operate longer\, maintain consistent performance\, and reduce the maintenance burden that traditional battery powered systems create. \nDecentralized Energy Management Reshapes Microgrids\nHeila then demonstrates how autonomous and decentralized energy management transforms microgrids and distributed energy resources. Solar\, storage\, and EV assets work together and adapt without relying on a central controller. In turn\, this approach gives Edge AI systems the flexibility to respond to changing energy conditions in real time. \nLong Range Connectivity Strengthens Edge AI Architectures\nNewracom explains how Wi Fi HaLow delivers long range\, low power connectivity. This capability proves essential for large scale IoT deployments and forms a strong foundation for robust Edge AI architectures. Moreover\, it allows organizations to connect thousands of devices across wide areas without sacrificing power efficiency. \nIntelligent Sensing Brings Context to Raw Data\nSensitel\, powered by SenseAI\, rounds out the panel by showing how intelligent sensing\, workflow automation\, and real time analytics bring contextual awareness to the edge. As a result\, raw sensor data becomes actionable insight that supports operations\, logistics\, and safety across industries. \nWhat Attendees Will Gain\nTogether\, these four perspectives show how Edge AI moves from concept to real world deployment. The result is a class of systems that adapts more readily\, operates more sustainably\, and functions independently at scale. Attendees leave with a clear view of emerging architectures\, cross industry use cases\, and the collaborative ecosystem needed to drive the next wave of intelligent edge innovation. \n\n\n\n\n		\n	\n\n\n\n		\n	\n\n\n\n		\n	\n\n\n\n		\n	\n\n\n\n	About Sensors Converge\nSensors Converge is North America’s leading event for sensing\, processing\, connectivity\, power\, and edge AI innovation. \nDiscover more than 200 exhibitors and thousands of technologies across 50 product categories.\nHear directly from experts shaping the next generation of intelligent systems. \nProfessionals building IoT\, edge AI\, embedded systems\, or connected devices will find valuable insights and partners.\nThis is where breakthrough ideas move from concept to real-world deployment. \nJoin the engineering and technology community driving the future of connected innovation.
URL:https://wca.org/event/launch-of-the-silicon-valley-poll/
CATEGORIES:Partner Events
ATTACH;FMTTYPE=image/webp:https://wca.org/wp-content/uploads/Thumb_JointVentureSV2.webp
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20210924T080000
DTEND;TZID=America/Los_Angeles:20210926T170000
DTSTAMP:20260618T035039
CREATED:20210821T074617Z
LAST-MODIFIED:20210910T004413Z
UID:32968-1632470400-1632675600@wca.org
SUMMARY:DeepHack: Health and Safety Monitoring
DESCRIPTION:Edge‑AI for the Next Generation of Connected Systems						\n												\n						 The Technologies Shaping Tomorrow’s Intelligent Edge Ecosystem						\n											\n						\n					\n					\n\n\n	\nEdge AI is changing how devices sense\, think\, and act in real time. Today\, it helps systems work faster\, smarter\, and with less human support. As a result\, IoT\, industrial\, and smart infrastructure networks can do more at the edge. They can also save energy\, reduce downtime\, and respond faster to change. \nThis World of Connected AI (WCA) roundtable brings four technology leaders together. They will explore how key technologies support smarter edge systems.These include wireless power\, shared energy intelligence\, long range connectivity\, and AI driven sensing. Together\, these tools create systems that can run with greater freedom and scale.They also help build cleaner\, stronger\, and more reliable digital infrastructure. \nHow Does Wireless Power Help Edge AI Grow?\nWireless power removes many limits linked to standard batteries. Because of this\, edge devices can keep sensing without frequent battery changes. They can also work longer and deliver steady performance. This reduces service visits and lowers the cost of large device networks. \nIn addition\, wireless power supports sensors in hard to reach places. So\, teams can place devices where data matters most.This gives Edge AI systems more reach\, better uptime\, and stronger field performance. \nEdge AI and Smarter Energy Management\nDecentralized energy systems are changing how microgrids work.I nstead of relying on one main controller\, assets can share decisions. Solar panels\, storage units\, and EV chargers can adapt as conditions change. As a result\, energy networks become more flexible and more resilient. \nEdge AI adds value by helping these assets act in real time. It can track demand\, balance supply\, and support cleaner energy use. Therefore\, microgrids can respond faster while using resources more wisely. \nLong Range Connectivity Expands Edge AI Networks\nLong range\, low power wireless networks help Edge AI scale across wide areas. These networks support thousands of connected devices without heavy energy use. They also improve coverage for cities\, factories\, farms\, and remote sites. For example\, sub GHz IoT connectivity can link devices across large spaces. It gives teams reliable data without complex wiring or high power needs. As a result\, organizations can build larger and smarter edge networks. \nAI Driven Sensing Turns Data Into Action\nSmart sensing platforms help turn raw data into useful insight. They can detect changes\, spot risks\, and guide faster decisions. Because of this\, teams gain clearer visibility across daily operations. These systems also support logistics\, safety\, and industrial work. They can automate tasks\, improve alerts\, and reduce response times. Meanwhile\, real time analytics help people act before small issues grow. \nEdge AI Builds Resilient and Scalable Infrastructure\nTogether\, these technologies move Edge AI from idea to real deployment. They support systems that can adapt\, save energy\, and operate with less support. They also help industries build stronger networks for the future. Attendees will learn about new architectures and cross industry use cases. They will also see how collaboration can speed the next wave of edge innovation. With the right ecosystem\, Edge AI can power smarter\, cleaner\, and more independent systems. \n\n\n\n\n	\nHow Edge AI Is Powering Smarter\, Self-Sufficient IoT Ecosystems\nEdge AI is reshaping how devices sense\, process\, and act in real time. As a result\, it unlocks new levels of intelligence\, efficiency\, and autonomy across IoT\, industrial\, and smart infrastructure environments. This WCA roundtable brings together four technology leaders\, Energous\, Heila\, Newracom\, and Sensitel with SenseAI\, to examine how wireless power\, distributed energy intelligence\, long range connectivity\, and AI driven sensing combine to create a new generation of self powered\, resilient\, and scalable edge systems. \nWireless Power Networks Eliminate Battery Limits\nEnergous leads the discussion by presenting advances in wireless power networks. These networks remove battery limitations and support continuous sensing at the edge. Consequently\, devices can operate longer\, maintain consistent performance\, and reduce the maintenance burden that traditional battery powered systems create. \nDecentralized Energy Management Reshapes Microgrids\nHeila then demonstrates how autonomous and decentralized energy management transforms microgrids and distributed energy resources. Solar\, storage\, and EV assets work together and adapt without relying on a central controller. In turn\, this approach gives Edge AI systems the flexibility to respond to changing energy conditions in real time. \nLong Range Connectivity Strengthens Edge AI Architectures\nNewracom explains how Wi Fi HaLow delivers long range\, low power connectivity. This capability proves essential for large scale IoT deployments and forms a strong foundation for robust Edge AI architectures. Moreover\, it allows organizations to connect thousands of devices across wide areas without sacrificing power efficiency. \nIntelligent Sensing Brings Context to Raw Data\nSensitel\, powered by SenseAI\, rounds out the panel by showing how intelligent sensing\, workflow automation\, and real time analytics bring contextual awareness to the edge. As a result\, raw sensor data becomes actionable insight that supports operations\, logistics\, and safety across industries. \nWhat Attendees Will Gain\nTogether\, these four perspectives show how Edge AI moves from concept to real world deployment. The result is a class of systems that adapts more readily\, operates more sustainably\, and functions independently at scale. Attendees leave with a clear view of emerging architectures\, cross industry use cases\, and the collaborative ecosystem needed to drive the next wave of intelligent edge innovation. \n\n\n\n\n		\n	\n\n\n\n		\n	\n\n\n\n		\n	\n\n\n\n		\n	\n\n\n\n	About Sensors Converge\nSensors Converge is North America’s leading event for sensing\, processing\, connectivity\, power\, and edge AI innovation. \nDiscover more than 200 exhibitors and thousands of technologies across 50 product categories.\nHear directly from experts shaping the next generation of intelligent systems. \nProfessionals building IoT\, edge AI\, embedded systems\, or connected devices will find valuable insights and partners.\nThis is where breakthrough ideas move from concept to real-world deployment. \nJoin the engineering and technology community driving the future of connected innovation.
URL:https://wca.org/event/deephack-health-and-safety-monitoring/
CATEGORIES:Partner Events
ATTACH;FMTTYPE=image/jpeg:https://wca.org/wp-content/uploads/thumb_eitHacketon.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20210923T160000
DTEND;TZID=America/Los_Angeles:20210923T173000
DTSTAMP:20260618T035039
CREATED:20210708T033644Z
LAST-MODIFIED:20210924T200752Z
UID:32587-1632412800-1632418200@wca.org
SUMMARY:IIoT Sensors Gizmos & Gadgets – Oktoberfest at Home
DESCRIPTION:Edge‑AI for the Next Generation of Connected Systems						\n												\n						 The Technologies Shaping Tomorrow’s Intelligent Edge Ecosystem						\n											\n						\n					\n					\n\n\n	\nEdge AI is changing how devices sense\, think\, and act in real time. Today\, it helps systems work faster\, smarter\, and with less human support. As a result\, IoT\, industrial\, and smart infrastructure networks can do more at the edge. They can also save energy\, reduce downtime\, and respond faster to change. \nThis World of Connected AI (WCA) roundtable brings four technology leaders together. They will explore how key technologies support smarter edge systems.These include wireless power\, shared energy intelligence\, long range connectivity\, and AI driven sensing. Together\, these tools create systems that can run with greater freedom and scale.They also help build cleaner\, stronger\, and more reliable digital infrastructure. \nHow Does Wireless Power Help Edge AI Grow?\nWireless power removes many limits linked to standard batteries. Because of this\, edge devices can keep sensing without frequent battery changes. They can also work longer and deliver steady performance. This reduces service visits and lowers the cost of large device networks. \nIn addition\, wireless power supports sensors in hard to reach places. So\, teams can place devices where data matters most.This gives Edge AI systems more reach\, better uptime\, and stronger field performance. \nEdge AI and Smarter Energy Management\nDecentralized energy systems are changing how microgrids work.I nstead of relying on one main controller\, assets can share decisions. Solar panels\, storage units\, and EV chargers can adapt as conditions change. As a result\, energy networks become more flexible and more resilient. \nEdge AI adds value by helping these assets act in real time. It can track demand\, balance supply\, and support cleaner energy use. Therefore\, microgrids can respond faster while using resources more wisely. \nLong Range Connectivity Expands Edge AI Networks\nLong range\, low power wireless networks help Edge AI scale across wide areas. These networks support thousands of connected devices without heavy energy use. They also improve coverage for cities\, factories\, farms\, and remote sites. For example\, sub GHz IoT connectivity can link devices across large spaces. It gives teams reliable data without complex wiring or high power needs. As a result\, organizations can build larger and smarter edge networks. \nAI Driven Sensing Turns Data Into Action\nSmart sensing platforms help turn raw data into useful insight. They can detect changes\, spot risks\, and guide faster decisions. Because of this\, teams gain clearer visibility across daily operations. These systems also support logistics\, safety\, and industrial work. They can automate tasks\, improve alerts\, and reduce response times. Meanwhile\, real time analytics help people act before small issues grow. \nEdge AI Builds Resilient and Scalable Infrastructure\nTogether\, these technologies move Edge AI from idea to real deployment. They support systems that can adapt\, save energy\, and operate with less support. They also help industries build stronger networks for the future. Attendees will learn about new architectures and cross industry use cases. They will also see how collaboration can speed the next wave of edge innovation. With the right ecosystem\, Edge AI can power smarter\, cleaner\, and more independent systems. \n\n\n\n\n	\nHow Edge AI Is Powering Smarter\, Self-Sufficient IoT Ecosystems\nEdge AI is reshaping how devices sense\, process\, and act in real time. As a result\, it unlocks new levels of intelligence\, efficiency\, and autonomy across IoT\, industrial\, and smart infrastructure environments. This WCA roundtable brings together four technology leaders\, Energous\, Heila\, Newracom\, and Sensitel with SenseAI\, to examine how wireless power\, distributed energy intelligence\, long range connectivity\, and AI driven sensing combine to create a new generation of self powered\, resilient\, and scalable edge systems. \nWireless Power Networks Eliminate Battery Limits\nEnergous leads the discussion by presenting advances in wireless power networks. These networks remove battery limitations and support continuous sensing at the edge. Consequently\, devices can operate longer\, maintain consistent performance\, and reduce the maintenance burden that traditional battery powered systems create. \nDecentralized Energy Management Reshapes Microgrids\nHeila then demonstrates how autonomous and decentralized energy management transforms microgrids and distributed energy resources. Solar\, storage\, and EV assets work together and adapt without relying on a central controller. In turn\, this approach gives Edge AI systems the flexibility to respond to changing energy conditions in real time. \nLong Range Connectivity Strengthens Edge AI Architectures\nNewracom explains how Wi Fi HaLow delivers long range\, low power connectivity. This capability proves essential for large scale IoT deployments and forms a strong foundation for robust Edge AI architectures. Moreover\, it allows organizations to connect thousands of devices across wide areas without sacrificing power efficiency. \nIntelligent Sensing Brings Context to Raw Data\nSensitel\, powered by SenseAI\, rounds out the panel by showing how intelligent sensing\, workflow automation\, and real time analytics bring contextual awareness to the edge. As a result\, raw sensor data becomes actionable insight that supports operations\, logistics\, and safety across industries. \nWhat Attendees Will Gain\nTogether\, these four perspectives show how Edge AI moves from concept to real world deployment. The result is a class of systems that adapts more readily\, operates more sustainably\, and functions independently at scale. Attendees leave with a clear view of emerging architectures\, cross industry use cases\, and the collaborative ecosystem needed to drive the next wave of intelligent edge innovation. \n\n\n\n\n		\n	\n\n\n\n		\n	\n\n\n\n		\n	\n\n\n\n		\n	\n\n\n\n	About Sensors Converge\nSensors Converge is North America’s leading event for sensing\, processing\, connectivity\, power\, and edge AI innovation. \nDiscover more than 200 exhibitors and thousands of technologies across 50 product categories.\nHear directly from experts shaping the next generation of intelligent systems. \nProfessionals building IoT\, edge AI\, embedded systems\, or connected devices will find valuable insights and partners.\nThis is where breakthrough ideas move from concept to real-world deployment. \nJoin the engineering and technology community driving the future of connected innovation.
URL:https://wca.org/event/iiot-sensors-gizmos-gadgets-oktoberfest/
CATEGORIES:WCA Center Stage
ATTACH;FMTTYPE=image/webp:https://wca.org/wp-content/uploads/Thumb_200x_IIoTSensorsGizmosGadgetsOktoberfest.webp
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20210923T083000
DTEND;TZID=America/Los_Angeles:20210923T113000
DTSTAMP:20260618T035039
CREATED:20210806T190405Z
LAST-MODIFIED:20210903T175719Z
UID:32811-1632385800-1632396600@wca.org
SUMMARY:Telecom Council Innovation Review on 5G RAN
DESCRIPTION:Edge‑AI for the Next Generation of Connected Systems						\n												\n						 The Technologies Shaping Tomorrow’s Intelligent Edge Ecosystem						\n											\n						\n					\n					\n\n\n	\nEdge AI is changing how devices sense\, think\, and act in real time. Today\, it helps systems work faster\, smarter\, and with less human support. As a result\, IoT\, industrial\, and smart infrastructure networks can do more at the edge. They can also save energy\, reduce downtime\, and respond faster to change. \nThis World of Connected AI (WCA) roundtable brings four technology leaders together. They will explore how key technologies support smarter edge systems.These include wireless power\, shared energy intelligence\, long range connectivity\, and AI driven sensing. Together\, these tools create systems that can run with greater freedom and scale.They also help build cleaner\, stronger\, and more reliable digital infrastructure. \nHow Does Wireless Power Help Edge AI Grow?\nWireless power removes many limits linked to standard batteries. Because of this\, edge devices can keep sensing without frequent battery changes. They can also work longer and deliver steady performance. This reduces service visits and lowers the cost of large device networks. \nIn addition\, wireless power supports sensors in hard to reach places. So\, teams can place devices where data matters most.This gives Edge AI systems more reach\, better uptime\, and stronger field performance. \nEdge AI and Smarter Energy Management\nDecentralized energy systems are changing how microgrids work.I nstead of relying on one main controller\, assets can share decisions. Solar panels\, storage units\, and EV chargers can adapt as conditions change. As a result\, energy networks become more flexible and more resilient. \nEdge AI adds value by helping these assets act in real time. It can track demand\, balance supply\, and support cleaner energy use. Therefore\, microgrids can respond faster while using resources more wisely. \nLong Range Connectivity Expands Edge AI Networks\nLong range\, low power wireless networks help Edge AI scale across wide areas. These networks support thousands of connected devices without heavy energy use. They also improve coverage for cities\, factories\, farms\, and remote sites. For example\, sub GHz IoT connectivity can link devices across large spaces. It gives teams reliable data without complex wiring or high power needs. As a result\, organizations can build larger and smarter edge networks. \nAI Driven Sensing Turns Data Into Action\nSmart sensing platforms help turn raw data into useful insight. They can detect changes\, spot risks\, and guide faster decisions. Because of this\, teams gain clearer visibility across daily operations. These systems also support logistics\, safety\, and industrial work. They can automate tasks\, improve alerts\, and reduce response times. Meanwhile\, real time analytics help people act before small issues grow. \nEdge AI Builds Resilient and Scalable Infrastructure\nTogether\, these technologies move Edge AI from idea to real deployment. They support systems that can adapt\, save energy\, and operate with less support. They also help industries build stronger networks for the future. Attendees will learn about new architectures and cross industry use cases. They will also see how collaboration can speed the next wave of edge innovation. With the right ecosystem\, Edge AI can power smarter\, cleaner\, and more independent systems. \n\n\n\n\n	\nHow Edge AI Is Powering Smarter\, Self-Sufficient IoT Ecosystems\nEdge AI is reshaping how devices sense\, process\, and act in real time. As a result\, it unlocks new levels of intelligence\, efficiency\, and autonomy across IoT\, industrial\, and smart infrastructure environments. This WCA roundtable brings together four technology leaders\, Energous\, Heila\, Newracom\, and Sensitel with SenseAI\, to examine how wireless power\, distributed energy intelligence\, long range connectivity\, and AI driven sensing combine to create a new generation of self powered\, resilient\, and scalable edge systems. \nWireless Power Networks Eliminate Battery Limits\nEnergous leads the discussion by presenting advances in wireless power networks. These networks remove battery limitations and support continuous sensing at the edge. Consequently\, devices can operate longer\, maintain consistent performance\, and reduce the maintenance burden that traditional battery powered systems create. \nDecentralized Energy Management Reshapes Microgrids\nHeila then demonstrates how autonomous and decentralized energy management transforms microgrids and distributed energy resources. Solar\, storage\, and EV assets work together and adapt without relying on a central controller. In turn\, this approach gives Edge AI systems the flexibility to respond to changing energy conditions in real time. \nLong Range Connectivity Strengthens Edge AI Architectures\nNewracom explains how Wi Fi HaLow delivers long range\, low power connectivity. This capability proves essential for large scale IoT deployments and forms a strong foundation for robust Edge AI architectures. Moreover\, it allows organizations to connect thousands of devices across wide areas without sacrificing power efficiency. \nIntelligent Sensing Brings Context to Raw Data\nSensitel\, powered by SenseAI\, rounds out the panel by showing how intelligent sensing\, workflow automation\, and real time analytics bring contextual awareness to the edge. As a result\, raw sensor data becomes actionable insight that supports operations\, logistics\, and safety across industries. \nWhat Attendees Will Gain\nTogether\, these four perspectives show how Edge AI moves from concept to real world deployment. The result is a class of systems that adapts more readily\, operates more sustainably\, and functions independently at scale. Attendees leave with a clear view of emerging architectures\, cross industry use cases\, and the collaborative ecosystem needed to drive the next wave of intelligent edge innovation. \n\n\n\n\n		\n	\n\n\n\n		\n	\n\n\n\n		\n	\n\n\n\n		\n	\n\n\n\n	About Sensors Converge\nSensors Converge is North America’s leading event for sensing\, processing\, connectivity\, power\, and edge AI innovation. \nDiscover more than 200 exhibitors and thousands of technologies across 50 product categories.\nHear directly from experts shaping the next generation of intelligent systems. \nProfessionals building IoT\, edge AI\, embedded systems\, or connected devices will find valuable insights and partners.\nThis is where breakthrough ideas move from concept to real-world deployment. \nJoin the engineering and technology community driving the future of connected innovation.
URL:https://wca.org/event/telecom-council-innovation-review-on-5g-ran/
CATEGORIES:Partner Events
ATTACH;FMTTYPE=image/webp:https://wca.org/wp-content/uploads/thumb_TelecomCouncil.webp
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20210921T080000
DTEND;TZID=America/Los_Angeles:20210923T170000
DTSTAMP:20260618T035039
CREATED:20210713T222512Z
LAST-MODIFIED:20210713T222514Z
UID:32647-1632211200-1632416400@wca.org
SUMMARY:Automotive LIDAR 2021
DESCRIPTION:Edge‑AI for the Next Generation of Connected Systems						\n												\n						 The Technologies Shaping Tomorrow’s Intelligent Edge Ecosystem						\n											\n						\n					\n					\n\n\n	\nEdge AI is changing how devices sense\, think\, and act in real time. Today\, it helps systems work faster\, smarter\, and with less human support. As a result\, IoT\, industrial\, and smart infrastructure networks can do more at the edge. They can also save energy\, reduce downtime\, and respond faster to change. \nThis World of Connected AI (WCA) roundtable brings four technology leaders together. They will explore how key technologies support smarter edge systems.These include wireless power\, shared energy intelligence\, long range connectivity\, and AI driven sensing. Together\, these tools create systems that can run with greater freedom and scale.They also help build cleaner\, stronger\, and more reliable digital infrastructure. \nHow Does Wireless Power Help Edge AI Grow?\nWireless power removes many limits linked to standard batteries. Because of this\, edge devices can keep sensing without frequent battery changes. They can also work longer and deliver steady performance. This reduces service visits and lowers the cost of large device networks. \nIn addition\, wireless power supports sensors in hard to reach places. So\, teams can place devices where data matters most.This gives Edge AI systems more reach\, better uptime\, and stronger field performance. \nEdge AI and Smarter Energy Management\nDecentralized energy systems are changing how microgrids work.I nstead of relying on one main controller\, assets can share decisions. Solar panels\, storage units\, and EV chargers can adapt as conditions change. As a result\, energy networks become more flexible and more resilient. \nEdge AI adds value by helping these assets act in real time. It can track demand\, balance supply\, and support cleaner energy use. Therefore\, microgrids can respond faster while using resources more wisely. \nLong Range Connectivity Expands Edge AI Networks\nLong range\, low power wireless networks help Edge AI scale across wide areas. These networks support thousands of connected devices without heavy energy use. They also improve coverage for cities\, factories\, farms\, and remote sites. For example\, sub GHz IoT connectivity can link devices across large spaces. It gives teams reliable data without complex wiring or high power needs. As a result\, organizations can build larger and smarter edge networks. \nAI Driven Sensing Turns Data Into Action\nSmart sensing platforms help turn raw data into useful insight. They can detect changes\, spot risks\, and guide faster decisions. Because of this\, teams gain clearer visibility across daily operations. These systems also support logistics\, safety\, and industrial work. They can automate tasks\, improve alerts\, and reduce response times. Meanwhile\, real time analytics help people act before small issues grow. \nEdge AI Builds Resilient and Scalable Infrastructure\nTogether\, these technologies move Edge AI from idea to real deployment. They support systems that can adapt\, save energy\, and operate with less support. They also help industries build stronger networks for the future. Attendees will learn about new architectures and cross industry use cases. They will also see how collaboration can speed the next wave of edge innovation. With the right ecosystem\, Edge AI can power smarter\, cleaner\, and more independent systems. \n\n\n\n\n	\nHow Edge AI Is Powering Smarter\, Self-Sufficient IoT Ecosystems\nEdge AI is reshaping how devices sense\, process\, and act in real time. As a result\, it unlocks new levels of intelligence\, efficiency\, and autonomy across IoT\, industrial\, and smart infrastructure environments. This WCA roundtable brings together four technology leaders\, Energous\, Heila\, Newracom\, and Sensitel with SenseAI\, to examine how wireless power\, distributed energy intelligence\, long range connectivity\, and AI driven sensing combine to create a new generation of self powered\, resilient\, and scalable edge systems. \nWireless Power Networks Eliminate Battery Limits\nEnergous leads the discussion by presenting advances in wireless power networks. These networks remove battery limitations and support continuous sensing at the edge. Consequently\, devices can operate longer\, maintain consistent performance\, and reduce the maintenance burden that traditional battery powered systems create. \nDecentralized Energy Management Reshapes Microgrids\nHeila then demonstrates how autonomous and decentralized energy management transforms microgrids and distributed energy resources. Solar\, storage\, and EV assets work together and adapt without relying on a central controller. In turn\, this approach gives Edge AI systems the flexibility to respond to changing energy conditions in real time. \nLong Range Connectivity Strengthens Edge AI Architectures\nNewracom explains how Wi Fi HaLow delivers long range\, low power connectivity. This capability proves essential for large scale IoT deployments and forms a strong foundation for robust Edge AI architectures. Moreover\, it allows organizations to connect thousands of devices across wide areas without sacrificing power efficiency. \nIntelligent Sensing Brings Context to Raw Data\nSensitel\, powered by SenseAI\, rounds out the panel by showing how intelligent sensing\, workflow automation\, and real time analytics bring contextual awareness to the edge. As a result\, raw sensor data becomes actionable insight that supports operations\, logistics\, and safety across industries. \nWhat Attendees Will Gain\nTogether\, these four perspectives show how Edge AI moves from concept to real world deployment. The result is a class of systems that adapts more readily\, operates more sustainably\, and functions independently at scale. Attendees leave with a clear view of emerging architectures\, cross industry use cases\, and the collaborative ecosystem needed to drive the next wave of intelligent edge innovation. \n\n\n\n\n		\n	\n\n\n\n		\n	\n\n\n\n		\n	\n\n\n\n		\n	\n\n\n\n	About Sensors Converge\nSensors Converge is North America’s leading event for sensing\, processing\, connectivity\, power\, and edge AI innovation. \nDiscover more than 200 exhibitors and thousands of technologies across 50 product categories.\nHear directly from experts shaping the next generation of intelligent systems. \nProfessionals building IoT\, edge AI\, embedded systems\, or connected devices will find valuable insights and partners.\nThis is where breakthrough ideas move from concept to real-world deployment. \nJoin the engineering and technology community driving the future of connected innovation.
URL:https://wca.org/event/automotive-lidar-2021/
CATEGORIES:Partner Events
ATTACH;FMTTYPE=image/webp:https://wca.org/wp-content/uploads/Thumb_Lidar2021.webp
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20210907T100000
DTEND;TZID=America/Los_Angeles:20210907T110000
DTSTAMP:20260618T035039
CREATED:20210820T053520Z
LAST-MODIFIED:20210823T024628Z
UID:32949-1631008800-1631012400@wca.org
SUMMARY:5G Things Dialogues at (Ericsson) D-15: Connecting the Startup ecosystem event
DESCRIPTION:Edge‑AI for the Next Generation of Connected Systems						\n												\n						 The Technologies Shaping Tomorrow’s Intelligent Edge Ecosystem						\n											\n						\n					\n					\n\n\n	\nEdge AI is changing how devices sense\, think\, and act in real time. Today\, it helps systems work faster\, smarter\, and with less human support. As a result\, IoT\, industrial\, and smart infrastructure networks can do more at the edge. They can also save energy\, reduce downtime\, and respond faster to change. \nThis World of Connected AI (WCA) roundtable brings four technology leaders together. They will explore how key technologies support smarter edge systems.These include wireless power\, shared energy intelligence\, long range connectivity\, and AI driven sensing. Together\, these tools create systems that can run with greater freedom and scale.They also help build cleaner\, stronger\, and more reliable digital infrastructure. \nHow Does Wireless Power Help Edge AI Grow?\nWireless power removes many limits linked to standard batteries. Because of this\, edge devices can keep sensing without frequent battery changes. They can also work longer and deliver steady performance. This reduces service visits and lowers the cost of large device networks. \nIn addition\, wireless power supports sensors in hard to reach places. So\, teams can place devices where data matters most.This gives Edge AI systems more reach\, better uptime\, and stronger field performance. \nEdge AI and Smarter Energy Management\nDecentralized energy systems are changing how microgrids work.I nstead of relying on one main controller\, assets can share decisions. Solar panels\, storage units\, and EV chargers can adapt as conditions change. As a result\, energy networks become more flexible and more resilient. \nEdge AI adds value by helping these assets act in real time. It can track demand\, balance supply\, and support cleaner energy use. Therefore\, microgrids can respond faster while using resources more wisely. \nLong Range Connectivity Expands Edge AI Networks\nLong range\, low power wireless networks help Edge AI scale across wide areas. These networks support thousands of connected devices without heavy energy use. They also improve coverage for cities\, factories\, farms\, and remote sites. For example\, sub GHz IoT connectivity can link devices across large spaces. It gives teams reliable data without complex wiring or high power needs. As a result\, organizations can build larger and smarter edge networks. \nAI Driven Sensing Turns Data Into Action\nSmart sensing platforms help turn raw data into useful insight. They can detect changes\, spot risks\, and guide faster decisions. Because of this\, teams gain clearer visibility across daily operations. These systems also support logistics\, safety\, and industrial work. They can automate tasks\, improve alerts\, and reduce response times. Meanwhile\, real time analytics help people act before small issues grow. \nEdge AI Builds Resilient and Scalable Infrastructure\nTogether\, these technologies move Edge AI from idea to real deployment. They support systems that can adapt\, save energy\, and operate with less support. They also help industries build stronger networks for the future. Attendees will learn about new architectures and cross industry use cases. They will also see how collaboration can speed the next wave of edge innovation. With the right ecosystem\, Edge AI can power smarter\, cleaner\, and more independent systems. \n\n\n\n\n	\nHow Edge AI Is Powering Smarter\, Self-Sufficient IoT Ecosystems\nEdge AI is reshaping how devices sense\, process\, and act in real time. As a result\, it unlocks new levels of intelligence\, efficiency\, and autonomy across IoT\, industrial\, and smart infrastructure environments. This WCA roundtable brings together four technology leaders\, Energous\, Heila\, Newracom\, and Sensitel with SenseAI\, to examine how wireless power\, distributed energy intelligence\, long range connectivity\, and AI driven sensing combine to create a new generation of self powered\, resilient\, and scalable edge systems. \nWireless Power Networks Eliminate Battery Limits\nEnergous leads the discussion by presenting advances in wireless power networks. These networks remove battery limitations and support continuous sensing at the edge. Consequently\, devices can operate longer\, maintain consistent performance\, and reduce the maintenance burden that traditional battery powered systems create. \nDecentralized Energy Management Reshapes Microgrids\nHeila then demonstrates how autonomous and decentralized energy management transforms microgrids and distributed energy resources. Solar\, storage\, and EV assets work together and adapt without relying on a central controller. In turn\, this approach gives Edge AI systems the flexibility to respond to changing energy conditions in real time. \nLong Range Connectivity Strengthens Edge AI Architectures\nNewracom explains how Wi Fi HaLow delivers long range\, low power connectivity. This capability proves essential for large scale IoT deployments and forms a strong foundation for robust Edge AI architectures. Moreover\, it allows organizations to connect thousands of devices across wide areas without sacrificing power efficiency. \nIntelligent Sensing Brings Context to Raw Data\nSensitel\, powered by SenseAI\, rounds out the panel by showing how intelligent sensing\, workflow automation\, and real time analytics bring contextual awareness to the edge. As a result\, raw sensor data becomes actionable insight that supports operations\, logistics\, and safety across industries. \nWhat Attendees Will Gain\nTogether\, these four perspectives show how Edge AI moves from concept to real world deployment. The result is a class of systems that adapts more readily\, operates more sustainably\, and functions independently at scale. Attendees leave with a clear view of emerging architectures\, cross industry use cases\, and the collaborative ecosystem needed to drive the next wave of intelligent edge innovation. \n\n\n\n\n		\n	\n\n\n\n		\n	\n\n\n\n		\n	\n\n\n\n		\n	\n\n\n\n	About Sensors Converge\nSensors Converge is North America’s leading event for sensing\, processing\, connectivity\, power\, and edge AI innovation. \nDiscover more than 200 exhibitors and thousands of technologies across 50 product categories.\nHear directly from experts shaping the next generation of intelligent systems. \nProfessionals building IoT\, edge AI\, embedded systems\, or connected devices will find valuable insights and partners.\nThis is where breakthrough ideas move from concept to real-world deployment. \nJoin the engineering and technology community driving the future of connected innovation.
URL:https://wca.org/event/5g-things-dialogues-at-d-15-connecting-the-startup-ecosystem-event/
CATEGORIES:Partner Events
ATTACH;FMTTYPE=image/webp:https://wca.org/wp-content/uploads/Thumb_EricssonD15Sept7-e1629438407229.webp
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20210902T130000
DTEND;TZID=America/Los_Angeles:20210902T140000
DTSTAMP:20260618T035039
CREATED:20210802T232225Z
LAST-MODIFIED:20210906T193601Z
UID:32758-1630587600-1630591200@wca.org
SUMMARY:“Connected Everything” Hardware Security Attacks - 2021
DESCRIPTION:Edge‑AI for the Next Generation of Connected Systems						\n												\n						 The Technologies Shaping Tomorrow’s Intelligent Edge Ecosystem						\n											\n						\n					\n					\n\n\n	\nEdge AI is changing how devices sense\, think\, and act in real time. Today\, it helps systems work faster\, smarter\, and with less human support. As a result\, IoT\, industrial\, and smart infrastructure networks can do more at the edge. They can also save energy\, reduce downtime\, and respond faster to change. \nThis World of Connected AI (WCA) roundtable brings four technology leaders together. They will explore how key technologies support smarter edge systems.These include wireless power\, shared energy intelligence\, long range connectivity\, and AI driven sensing. Together\, these tools create systems that can run with greater freedom and scale.They also help build cleaner\, stronger\, and more reliable digital infrastructure. \nHow Does Wireless Power Help Edge AI Grow?\nWireless power removes many limits linked to standard batteries. Because of this\, edge devices can keep sensing without frequent battery changes. They can also work longer and deliver steady performance. This reduces service visits and lowers the cost of large device networks. \nIn addition\, wireless power supports sensors in hard to reach places. So\, teams can place devices where data matters most.This gives Edge AI systems more reach\, better uptime\, and stronger field performance. \nEdge AI and Smarter Energy Management\nDecentralized energy systems are changing how microgrids work.I nstead of relying on one main controller\, assets can share decisions. Solar panels\, storage units\, and EV chargers can adapt as conditions change. As a result\, energy networks become more flexible and more resilient. \nEdge AI adds value by helping these assets act in real time. It can track demand\, balance supply\, and support cleaner energy use. Therefore\, microgrids can respond faster while using resources more wisely. \nLong Range Connectivity Expands Edge AI Networks\nLong range\, low power wireless networks help Edge AI scale across wide areas. These networks support thousands of connected devices without heavy energy use. They also improve coverage for cities\, factories\, farms\, and remote sites. For example\, sub GHz IoT connectivity can link devices across large spaces. It gives teams reliable data without complex wiring or high power needs. As a result\, organizations can build larger and smarter edge networks. \nAI Driven Sensing Turns Data Into Action\nSmart sensing platforms help turn raw data into useful insight. They can detect changes\, spot risks\, and guide faster decisions. Because of this\, teams gain clearer visibility across daily operations. These systems also support logistics\, safety\, and industrial work. They can automate tasks\, improve alerts\, and reduce response times. Meanwhile\, real time analytics help people act before small issues grow. \nEdge AI Builds Resilient and Scalable Infrastructure\nTogether\, these technologies move Edge AI from idea to real deployment. They support systems that can adapt\, save energy\, and operate with less support. They also help industries build stronger networks for the future. Attendees will learn about new architectures and cross industry use cases. They will also see how collaboration can speed the next wave of edge innovation. With the right ecosystem\, Edge AI can power smarter\, cleaner\, and more independent systems. \n\n\n\n\n	\nHow Edge AI Is Powering Smarter\, Self-Sufficient IoT Ecosystems\nEdge AI is reshaping how devices sense\, process\, and act in real time. As a result\, it unlocks new levels of intelligence\, efficiency\, and autonomy across IoT\, industrial\, and smart infrastructure environments. This WCA roundtable brings together four technology leaders\, Energous\, Heila\, Newracom\, and Sensitel with SenseAI\, to examine how wireless power\, distributed energy intelligence\, long range connectivity\, and AI driven sensing combine to create a new generation of self powered\, resilient\, and scalable edge systems. \nWireless Power Networks Eliminate Battery Limits\nEnergous leads the discussion by presenting advances in wireless power networks. These networks remove battery limitations and support continuous sensing at the edge. Consequently\, devices can operate longer\, maintain consistent performance\, and reduce the maintenance burden that traditional battery powered systems create. \nDecentralized Energy Management Reshapes Microgrids\nHeila then demonstrates how autonomous and decentralized energy management transforms microgrids and distributed energy resources. Solar\, storage\, and EV assets work together and adapt without relying on a central controller. In turn\, this approach gives Edge AI systems the flexibility to respond to changing energy conditions in real time. \nLong Range Connectivity Strengthens Edge AI Architectures\nNewracom explains how Wi Fi HaLow delivers long range\, low power connectivity. This capability proves essential for large scale IoT deployments and forms a strong foundation for robust Edge AI architectures. Moreover\, it allows organizations to connect thousands of devices across wide areas without sacrificing power efficiency. \nIntelligent Sensing Brings Context to Raw Data\nSensitel\, powered by SenseAI\, rounds out the panel by showing how intelligent sensing\, workflow automation\, and real time analytics bring contextual awareness to the edge. As a result\, raw sensor data becomes actionable insight that supports operations\, logistics\, and safety across industries. \nWhat Attendees Will Gain\nTogether\, these four perspectives show how Edge AI moves from concept to real world deployment. The result is a class of systems that adapts more readily\, operates more sustainably\, and functions independently at scale. Attendees leave with a clear view of emerging architectures\, cross industry use cases\, and the collaborative ecosystem needed to drive the next wave of intelligent edge innovation. \n\n\n\n\n		\n	\n\n\n\n		\n	\n\n\n\n		\n	\n\n\n\n		\n	\n\n\n\n	About Sensors Converge\nSensors Converge is North America’s leading event for sensing\, processing\, connectivity\, power\, and edge AI innovation. \nDiscover more than 200 exhibitors and thousands of technologies across 50 product categories.\nHear directly from experts shaping the next generation of intelligent systems. \nProfessionals building IoT\, edge AI\, embedded systems\, or connected devices will find valuable insights and partners.\nThis is where breakthrough ideas move from concept to real-world deployment. \nJoin the engineering and technology community driving the future of connected innovation.
URL:https://wca.org/event/connected-everything-hardware-security-attacks-2021/
CATEGORIES:WCA Center Stage
ATTACH;FMTTYPE=image/webp:https://wca.org/wp-content/uploads/Thumb_Hardware-Security-Attacks-2021-e1627947453535.webp
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20210818T090000
DTEND;TZID=America/Los_Angeles:20210818T110000
DTSTAMP:20260618T035039
CREATED:20210618T232056Z
LAST-MODIFIED:20210820T033254Z
UID:27758-1629277200-1629284400@wca.org
SUMMARY:Wireless Connectivity for Smart Everything - 2021
DESCRIPTION:Edge‑AI for the Next Generation of Connected Systems						\n												\n						 The Technologies Shaping Tomorrow’s Intelligent Edge Ecosystem						\n											\n						\n					\n					\n\n\n	\nEdge AI is changing how devices sense\, think\, and act in real time. Today\, it helps systems work faster\, smarter\, and with less human support. As a result\, IoT\, industrial\, and smart infrastructure networks can do more at the edge. They can also save energy\, reduce downtime\, and respond faster to change. \nThis World of Connected AI (WCA) roundtable brings four technology leaders together. They will explore how key technologies support smarter edge systems.These include wireless power\, shared energy intelligence\, long range connectivity\, and AI driven sensing. Together\, these tools create systems that can run with greater freedom and scale.They also help build cleaner\, stronger\, and more reliable digital infrastructure. \nHow Does Wireless Power Help Edge AI Grow?\nWireless power removes many limits linked to standard batteries. Because of this\, edge devices can keep sensing without frequent battery changes. They can also work longer and deliver steady performance. This reduces service visits and lowers the cost of large device networks. \nIn addition\, wireless power supports sensors in hard to reach places. So\, teams can place devices where data matters most.This gives Edge AI systems more reach\, better uptime\, and stronger field performance. \nEdge AI and Smarter Energy Management\nDecentralized energy systems are changing how microgrids work.I nstead of relying on one main controller\, assets can share decisions. Solar panels\, storage units\, and EV chargers can adapt as conditions change. As a result\, energy networks become more flexible and more resilient. \nEdge AI adds value by helping these assets act in real time. It can track demand\, balance supply\, and support cleaner energy use. Therefore\, microgrids can respond faster while using resources more wisely. \nLong Range Connectivity Expands Edge AI Networks\nLong range\, low power wireless networks help Edge AI scale across wide areas. These networks support thousands of connected devices without heavy energy use. They also improve coverage for cities\, factories\, farms\, and remote sites. For example\, sub GHz IoT connectivity can link devices across large spaces. It gives teams reliable data without complex wiring or high power needs. As a result\, organizations can build larger and smarter edge networks. \nAI Driven Sensing Turns Data Into Action\nSmart sensing platforms help turn raw data into useful insight. They can detect changes\, spot risks\, and guide faster decisions. Because of this\, teams gain clearer visibility across daily operations. These systems also support logistics\, safety\, and industrial work. They can automate tasks\, improve alerts\, and reduce response times. Meanwhile\, real time analytics help people act before small issues grow. \nEdge AI Builds Resilient and Scalable Infrastructure\nTogether\, these technologies move Edge AI from idea to real deployment. They support systems that can adapt\, save energy\, and operate with less support. They also help industries build stronger networks for the future. Attendees will learn about new architectures and cross industry use cases. They will also see how collaboration can speed the next wave of edge innovation. With the right ecosystem\, Edge AI can power smarter\, cleaner\, and more independent systems. \n\n\n\n\n	\nHow Edge AI Is Powering Smarter\, Self-Sufficient IoT Ecosystems\nEdge AI is reshaping how devices sense\, process\, and act in real time. As a result\, it unlocks new levels of intelligence\, efficiency\, and autonomy across IoT\, industrial\, and smart infrastructure environments. This WCA roundtable brings together four technology leaders\, Energous\, Heila\, Newracom\, and Sensitel with SenseAI\, to examine how wireless power\, distributed energy intelligence\, long range connectivity\, and AI driven sensing combine to create a new generation of self powered\, resilient\, and scalable edge systems. \nWireless Power Networks Eliminate Battery Limits\nEnergous leads the discussion by presenting advances in wireless power networks. These networks remove battery limitations and support continuous sensing at the edge. Consequently\, devices can operate longer\, maintain consistent performance\, and reduce the maintenance burden that traditional battery powered systems create. \nDecentralized Energy Management Reshapes Microgrids\nHeila then demonstrates how autonomous and decentralized energy management transforms microgrids and distributed energy resources. Solar\, storage\, and EV assets work together and adapt without relying on a central controller. In turn\, this approach gives Edge AI systems the flexibility to respond to changing energy conditions in real time. \nLong Range Connectivity Strengthens Edge AI Architectures\nNewracom explains how Wi Fi HaLow delivers long range\, low power connectivity. This capability proves essential for large scale IoT deployments and forms a strong foundation for robust Edge AI architectures. Moreover\, it allows organizations to connect thousands of devices across wide areas without sacrificing power efficiency. \nIntelligent Sensing Brings Context to Raw Data\nSensitel\, powered by SenseAI\, rounds out the panel by showing how intelligent sensing\, workflow automation\, and real time analytics bring contextual awareness to the edge. As a result\, raw sensor data becomes actionable insight that supports operations\, logistics\, and safety across industries. \nWhat Attendees Will Gain\nTogether\, these four perspectives show how Edge AI moves from concept to real world deployment. The result is a class of systems that adapts more readily\, operates more sustainably\, and functions independently at scale. Attendees leave with a clear view of emerging architectures\, cross industry use cases\, and the collaborative ecosystem needed to drive the next wave of intelligent edge innovation. \n\n\n\n\n		\n	\n\n\n\n		\n	\n\n\n\n		\n	\n\n\n\n		\n	\n\n\n\n	About Sensors Converge\nSensors Converge is North America’s leading event for sensing\, processing\, connectivity\, power\, and edge AI innovation. \nDiscover more than 200 exhibitors and thousands of technologies across 50 product categories.\nHear directly from experts shaping the next generation of intelligent systems. \nProfessionals building IoT\, edge AI\, embedded systems\, or connected devices will find valuable insights and partners.\nThis is where breakthrough ideas move from concept to real-world deployment. \nJoin the engineering and technology community driving the future of connected innovation.
URL:https://wca.org/event/wireless-connectivity-for-smart-everything-2021/
CATEGORIES:WCA Center Stage
ATTACH;FMTTYPE=image/webp:https://wca.org/wp-content/uploads/SmartEverything.webp
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20210817T080000
DTEND;TZID=America/Los_Angeles:20210817T093000
DTSTAMP:20260618T035039
CREATED:20210812T013648Z
LAST-MODIFIED:20210812T013653Z
UID:32862-1629187200-1629192600@wca.org
SUMMARY:Distance ‘Wireless’ Charging Technology\, a reality!
DESCRIPTION:Edge‑AI for the Next Generation of Connected Systems						\n												\n						 The Technologies Shaping Tomorrow’s Intelligent Edge Ecosystem						\n											\n						\n					\n					\n\n\n	\nEdge AI is changing how devices sense\, think\, and act in real time. Today\, it helps systems work faster\, smarter\, and with less human support. As a result\, IoT\, industrial\, and smart infrastructure networks can do more at the edge. They can also save energy\, reduce downtime\, and respond faster to change. \nThis World of Connected AI (WCA) roundtable brings four technology leaders together. They will explore how key technologies support smarter edge systems.These include wireless power\, shared energy intelligence\, long range connectivity\, and AI driven sensing. Together\, these tools create systems that can run with greater freedom and scale.They also help build cleaner\, stronger\, and more reliable digital infrastructure. \nHow Does Wireless Power Help Edge AI Grow?\nWireless power removes many limits linked to standard batteries. Because of this\, edge devices can keep sensing without frequent battery changes. They can also work longer and deliver steady performance. This reduces service visits and lowers the cost of large device networks. \nIn addition\, wireless power supports sensors in hard to reach places. So\, teams can place devices where data matters most.This gives Edge AI systems more reach\, better uptime\, and stronger field performance. \nEdge AI and Smarter Energy Management\nDecentralized energy systems are changing how microgrids work.I nstead of relying on one main controller\, assets can share decisions. Solar panels\, storage units\, and EV chargers can adapt as conditions change. As a result\, energy networks become more flexible and more resilient. \nEdge AI adds value by helping these assets act in real time. It can track demand\, balance supply\, and support cleaner energy use. Therefore\, microgrids can respond faster while using resources more wisely. \nLong Range Connectivity Expands Edge AI Networks\nLong range\, low power wireless networks help Edge AI scale across wide areas. These networks support thousands of connected devices without heavy energy use. They also improve coverage for cities\, factories\, farms\, and remote sites. For example\, sub GHz IoT connectivity can link devices across large spaces. It gives teams reliable data without complex wiring or high power needs. As a result\, organizations can build larger and smarter edge networks. \nAI Driven Sensing Turns Data Into Action\nSmart sensing platforms help turn raw data into useful insight. They can detect changes\, spot risks\, and guide faster decisions. Because of this\, teams gain clearer visibility across daily operations. These systems also support logistics\, safety\, and industrial work. They can automate tasks\, improve alerts\, and reduce response times. Meanwhile\, real time analytics help people act before small issues grow. \nEdge AI Builds Resilient and Scalable Infrastructure\nTogether\, these technologies move Edge AI from idea to real deployment. They support systems that can adapt\, save energy\, and operate with less support. They also help industries build stronger networks for the future. Attendees will learn about new architectures and cross industry use cases. They will also see how collaboration can speed the next wave of edge innovation. With the right ecosystem\, Edge AI can power smarter\, cleaner\, and more independent systems. \n\n\n\n\n	\nHow Edge AI Is Powering Smarter\, Self-Sufficient IoT Ecosystems\nEdge AI is reshaping how devices sense\, process\, and act in real time. As a result\, it unlocks new levels of intelligence\, efficiency\, and autonomy across IoT\, industrial\, and smart infrastructure environments. This WCA roundtable brings together four technology leaders\, Energous\, Heila\, Newracom\, and Sensitel with SenseAI\, to examine how wireless power\, distributed energy intelligence\, long range connectivity\, and AI driven sensing combine to create a new generation of self powered\, resilient\, and scalable edge systems. \nWireless Power Networks Eliminate Battery Limits\nEnergous leads the discussion by presenting advances in wireless power networks. These networks remove battery limitations and support continuous sensing at the edge. Consequently\, devices can operate longer\, maintain consistent performance\, and reduce the maintenance burden that traditional battery powered systems create. \nDecentralized Energy Management Reshapes Microgrids\nHeila then demonstrates how autonomous and decentralized energy management transforms microgrids and distributed energy resources. Solar\, storage\, and EV assets work together and adapt without relying on a central controller. In turn\, this approach gives Edge AI systems the flexibility to respond to changing energy conditions in real time. \nLong Range Connectivity Strengthens Edge AI Architectures\nNewracom explains how Wi Fi HaLow delivers long range\, low power connectivity. This capability proves essential for large scale IoT deployments and forms a strong foundation for robust Edge AI architectures. Moreover\, it allows organizations to connect thousands of devices across wide areas without sacrificing power efficiency. \nIntelligent Sensing Brings Context to Raw Data\nSensitel\, powered by SenseAI\, rounds out the panel by showing how intelligent sensing\, workflow automation\, and real time analytics bring contextual awareness to the edge. As a result\, raw sensor data becomes actionable insight that supports operations\, logistics\, and safety across industries. \nWhat Attendees Will Gain\nTogether\, these four perspectives show how Edge AI moves from concept to real world deployment. The result is a class of systems that adapts more readily\, operates more sustainably\, and functions independently at scale. Attendees leave with a clear view of emerging architectures\, cross industry use cases\, and the collaborative ecosystem needed to drive the next wave of intelligent edge innovation. \n\n\n\n\n		\n	\n\n\n\n		\n	\n\n\n\n		\n	\n\n\n\n		\n	\n\n\n\n	About Sensors Converge\nSensors Converge is North America’s leading event for sensing\, processing\, connectivity\, power\, and edge AI innovation. \nDiscover more than 200 exhibitors and thousands of technologies across 50 product categories.\nHear directly from experts shaping the next generation of intelligent systems. \nProfessionals building IoT\, edge AI\, embedded systems\, or connected devices will find valuable insights and partners.\nThis is where breakthrough ideas move from concept to real-world deployment. \nJoin the engineering and technology community driving the future of connected innovation.
URL:https://wca.org/event/distance-wireless-charging-technology-a-reality/
CATEGORIES:Partner Events
ATTACH;FMTTYPE=image/webp:https://wca.org/wp-content/uploads/Thumb_WWT_event.webp
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20210727T130000
DTEND;TZID=America/Los_Angeles:20210727T143000
DTSTAMP:20260618T035039
CREATED:20210616T010307Z
LAST-MODIFIED:20210817T061146Z
UID:27720-1627390800-1627396200@wca.org
SUMMARY:Broadband in Underserved Rural Areas - 2021
DESCRIPTION:Edge‑AI for the Next Generation of Connected Systems						\n												\n						 The Technologies Shaping Tomorrow’s Intelligent Edge Ecosystem						\n											\n						\n					\n					\n\n\n	\nEdge AI is changing how devices sense\, think\, and act in real time. Today\, it helps systems work faster\, smarter\, and with less human support. As a result\, IoT\, industrial\, and smart infrastructure networks can do more at the edge. They can also save energy\, reduce downtime\, and respond faster to change. \nThis World of Connected AI (WCA) roundtable brings four technology leaders together. They will explore how key technologies support smarter edge systems.These include wireless power\, shared energy intelligence\, long range connectivity\, and AI driven sensing. Together\, these tools create systems that can run with greater freedom and scale.They also help build cleaner\, stronger\, and more reliable digital infrastructure. \nHow Does Wireless Power Help Edge AI Grow?\nWireless power removes many limits linked to standard batteries. Because of this\, edge devices can keep sensing without frequent battery changes. They can also work longer and deliver steady performance. This reduces service visits and lowers the cost of large device networks. \nIn addition\, wireless power supports sensors in hard to reach places. So\, teams can place devices where data matters most.This gives Edge AI systems more reach\, better uptime\, and stronger field performance. \nEdge AI and Smarter Energy Management\nDecentralized energy systems are changing how microgrids work.I nstead of relying on one main controller\, assets can share decisions. Solar panels\, storage units\, and EV chargers can adapt as conditions change. As a result\, energy networks become more flexible and more resilient. \nEdge AI adds value by helping these assets act in real time. It can track demand\, balance supply\, and support cleaner energy use. Therefore\, microgrids can respond faster while using resources more wisely. \nLong Range Connectivity Expands Edge AI Networks\nLong range\, low power wireless networks help Edge AI scale across wide areas. These networks support thousands of connected devices without heavy energy use. They also improve coverage for cities\, factories\, farms\, and remote sites. For example\, sub GHz IoT connectivity can link devices across large spaces. It gives teams reliable data without complex wiring or high power needs. As a result\, organizations can build larger and smarter edge networks. \nAI Driven Sensing Turns Data Into Action\nSmart sensing platforms help turn raw data into useful insight. They can detect changes\, spot risks\, and guide faster decisions. Because of this\, teams gain clearer visibility across daily operations. These systems also support logistics\, safety\, and industrial work. They can automate tasks\, improve alerts\, and reduce response times. Meanwhile\, real time analytics help people act before small issues grow. \nEdge AI Builds Resilient and Scalable Infrastructure\nTogether\, these technologies move Edge AI from idea to real deployment. They support systems that can adapt\, save energy\, and operate with less support. They also help industries build stronger networks for the future. Attendees will learn about new architectures and cross industry use cases. They will also see how collaboration can speed the next wave of edge innovation. With the right ecosystem\, Edge AI can power smarter\, cleaner\, and more independent systems. \n\n\n\n\n	\nHow Edge AI Is Powering Smarter\, Self-Sufficient IoT Ecosystems\nEdge AI is reshaping how devices sense\, process\, and act in real time. As a result\, it unlocks new levels of intelligence\, efficiency\, and autonomy across IoT\, industrial\, and smart infrastructure environments. This WCA roundtable brings together four technology leaders\, Energous\, Heila\, Newracom\, and Sensitel with SenseAI\, to examine how wireless power\, distributed energy intelligence\, long range connectivity\, and AI driven sensing combine to create a new generation of self powered\, resilient\, and scalable edge systems. \nWireless Power Networks Eliminate Battery Limits\nEnergous leads the discussion by presenting advances in wireless power networks. These networks remove battery limitations and support continuous sensing at the edge. Consequently\, devices can operate longer\, maintain consistent performance\, and reduce the maintenance burden that traditional battery powered systems create. \nDecentralized Energy Management Reshapes Microgrids\nHeila then demonstrates how autonomous and decentralized energy management transforms microgrids and distributed energy resources. Solar\, storage\, and EV assets work together and adapt without relying on a central controller. In turn\, this approach gives Edge AI systems the flexibility to respond to changing energy conditions in real time. \nLong Range Connectivity Strengthens Edge AI Architectures\nNewracom explains how Wi Fi HaLow delivers long range\, low power connectivity. This capability proves essential for large scale IoT deployments and forms a strong foundation for robust Edge AI architectures. Moreover\, it allows organizations to connect thousands of devices across wide areas without sacrificing power efficiency. \nIntelligent Sensing Brings Context to Raw Data\nSensitel\, powered by SenseAI\, rounds out the panel by showing how intelligent sensing\, workflow automation\, and real time analytics bring contextual awareness to the edge. As a result\, raw sensor data becomes actionable insight that supports operations\, logistics\, and safety across industries. \nWhat Attendees Will Gain\nTogether\, these four perspectives show how Edge AI moves from concept to real world deployment. The result is a class of systems that adapts more readily\, operates more sustainably\, and functions independently at scale. Attendees leave with a clear view of emerging architectures\, cross industry use cases\, and the collaborative ecosystem needed to drive the next wave of intelligent edge innovation. \n\n\n\n\n		\n	\n\n\n\n		\n	\n\n\n\n		\n	\n\n\n\n		\n	\n\n\n\n	About Sensors Converge\nSensors Converge is North America’s leading event for sensing\, processing\, connectivity\, power\, and edge AI innovation. \nDiscover more than 200 exhibitors and thousands of technologies across 50 product categories.\nHear directly from experts shaping the next generation of intelligent systems. \nProfessionals building IoT\, edge AI\, embedded systems\, or connected devices will find valuable insights and partners.\nThis is where breakthrough ideas move from concept to real-world deployment. \nJoin the engineering and technology community driving the future of connected innovation.
URL:https://wca.org/event/broadband-in-underserved-rural-areas-2021/
CATEGORIES:WCA Center Stage
ATTACH;FMTTYPE=image/webp:https://wca.org/wp-content/uploads/Thumb_Broadband-copy.webp
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20210721T080000
DTEND;TZID=America/Los_Angeles:20210723T170000
DTSTAMP:20260618T035039
CREATED:20210618T190033Z
LAST-MODIFIED:20210619T193526Z
UID:27754-1626854400-1627059600@wca.org
SUMMARY:2021 GCTC Agriculture and Rural SuperCluster Workshop
DESCRIPTION:Edge‑AI for the Next Generation of Connected Systems						\n												\n						 The Technologies Shaping Tomorrow’s Intelligent Edge Ecosystem						\n											\n						\n					\n					\n\n\n	\nEdge AI is changing how devices sense\, think\, and act in real time. Today\, it helps systems work faster\, smarter\, and with less human support. As a result\, IoT\, industrial\, and smart infrastructure networks can do more at the edge. They can also save energy\, reduce downtime\, and respond faster to change. \nThis World of Connected AI (WCA) roundtable brings four technology leaders together. They will explore how key technologies support smarter edge systems.These include wireless power\, shared energy intelligence\, long range connectivity\, and AI driven sensing. Together\, these tools create systems that can run with greater freedom and scale.They also help build cleaner\, stronger\, and more reliable digital infrastructure. \nHow Does Wireless Power Help Edge AI Grow?\nWireless power removes many limits linked to standard batteries. Because of this\, edge devices can keep sensing without frequent battery changes. They can also work longer and deliver steady performance. This reduces service visits and lowers the cost of large device networks. \nIn addition\, wireless power supports sensors in hard to reach places. So\, teams can place devices where data matters most.This gives Edge AI systems more reach\, better uptime\, and stronger field performance. \nEdge AI and Smarter Energy Management\nDecentralized energy systems are changing how microgrids work.I nstead of relying on one main controller\, assets can share decisions. Solar panels\, storage units\, and EV chargers can adapt as conditions change. As a result\, energy networks become more flexible and more resilient. \nEdge AI adds value by helping these assets act in real time. It can track demand\, balance supply\, and support cleaner energy use. Therefore\, microgrids can respond faster while using resources more wisely. \nLong Range Connectivity Expands Edge AI Networks\nLong range\, low power wireless networks help Edge AI scale across wide areas. These networks support thousands of connected devices without heavy energy use. They also improve coverage for cities\, factories\, farms\, and remote sites. For example\, sub GHz IoT connectivity can link devices across large spaces. It gives teams reliable data without complex wiring or high power needs. As a result\, organizations can build larger and smarter edge networks. \nAI Driven Sensing Turns Data Into Action\nSmart sensing platforms help turn raw data into useful insight. They can detect changes\, spot risks\, and guide faster decisions. Because of this\, teams gain clearer visibility across daily operations. These systems also support logistics\, safety\, and industrial work. They can automate tasks\, improve alerts\, and reduce response times. Meanwhile\, real time analytics help people act before small issues grow. \nEdge AI Builds Resilient and Scalable Infrastructure\nTogether\, these technologies move Edge AI from idea to real deployment. They support systems that can adapt\, save energy\, and operate with less support. They also help industries build stronger networks for the future. Attendees will learn about new architectures and cross industry use cases. They will also see how collaboration can speed the next wave of edge innovation. With the right ecosystem\, Edge AI can power smarter\, cleaner\, and more independent systems. \n\n\n\n\n	\nHow Edge AI Is Powering Smarter\, Self-Sufficient IoT Ecosystems\nEdge AI is reshaping how devices sense\, process\, and act in real time. As a result\, it unlocks new levels of intelligence\, efficiency\, and autonomy across IoT\, industrial\, and smart infrastructure environments. This WCA roundtable brings together four technology leaders\, Energous\, Heila\, Newracom\, and Sensitel with SenseAI\, to examine how wireless power\, distributed energy intelligence\, long range connectivity\, and AI driven sensing combine to create a new generation of self powered\, resilient\, and scalable edge systems. \nWireless Power Networks Eliminate Battery Limits\nEnergous leads the discussion by presenting advances in wireless power networks. These networks remove battery limitations and support continuous sensing at the edge. Consequently\, devices can operate longer\, maintain consistent performance\, and reduce the maintenance burden that traditional battery powered systems create. \nDecentralized Energy Management Reshapes Microgrids\nHeila then demonstrates how autonomous and decentralized energy management transforms microgrids and distributed energy resources. Solar\, storage\, and EV assets work together and adapt without relying on a central controller. In turn\, this approach gives Edge AI systems the flexibility to respond to changing energy conditions in real time. \nLong Range Connectivity Strengthens Edge AI Architectures\nNewracom explains how Wi Fi HaLow delivers long range\, low power connectivity. This capability proves essential for large scale IoT deployments and forms a strong foundation for robust Edge AI architectures. Moreover\, it allows organizations to connect thousands of devices across wide areas without sacrificing power efficiency. \nIntelligent Sensing Brings Context to Raw Data\nSensitel\, powered by SenseAI\, rounds out the panel by showing how intelligent sensing\, workflow automation\, and real time analytics bring contextual awareness to the edge. As a result\, raw sensor data becomes actionable insight that supports operations\, logistics\, and safety across industries. \nWhat Attendees Will Gain\nTogether\, these four perspectives show how Edge AI moves from concept to real world deployment. The result is a class of systems that adapts more readily\, operates more sustainably\, and functions independently at scale. Attendees leave with a clear view of emerging architectures\, cross industry use cases\, and the collaborative ecosystem needed to drive the next wave of intelligent edge innovation. \n\n\n\n\n		\n	\n\n\n\n		\n	\n\n\n\n		\n	\n\n\n\n		\n	\n\n\n\n	About Sensors Converge\nSensors Converge is North America’s leading event for sensing\, processing\, connectivity\, power\, and edge AI innovation. \nDiscover more than 200 exhibitors and thousands of technologies across 50 product categories.\nHear directly from experts shaping the next generation of intelligent systems. \nProfessionals building IoT\, edge AI\, embedded systems\, or connected devices will find valuable insights and partners.\nThis is where breakthrough ideas move from concept to real-world deployment. \nJoin the engineering and technology community driving the future of connected innovation.
URL:https://wca.org/event/2021-gctc-agriculture-and-rural-supercluster-workshop/
CATEGORIES:Partner Events
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