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DTSTART;TZID=America/Los_Angeles:20210623T090000
DTEND;TZID=America/Los_Angeles:20210623T230000
DTSTAMP:20260620T014055
CREATED:20210528T194505Z
LAST-MODIFIED:20210604T003347Z
UID:3562-1624438800-1624489200@wca.org
SUMMARY:Join 5G Things Forum 2021 at Ericsson D-15
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-forum-2021/
CATEGORIES:Industry Events
ATTACH;FMTTYPE=image/webp:https://wca.org/wp-content/uploads/Ericson_5G_Things_thumb.webp
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20210622T080000
DTEND;TZID=America/Los_Angeles:20210625T170000
DTSTAMP:20260620T014055
CREATED:20210622T003350Z
LAST-MODIFIED:20210622T003352Z
UID:32372-1624348800-1624640400@wca.org
SUMMARY:IoT Evolution Expo Miami Beach Convention Center
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/iot-evolution-expo-miami-beach-convention-center/
CATEGORIES:Industry Events
ATTACH;FMTTYPE=image/webp:https://wca.org/wp-content/uploads/Thumb_IOT_expo.webp
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20210618T100000
DTEND;TZID=America/Los_Angeles:20210618T120000
DTSTAMP:20260620T014055
CREATED:20210604T043051Z
LAST-MODIFIED:20210604T043051Z
UID:35611-1624010400-1624017600@wca.org
SUMMARY:1st Global Diversity and Investment Summit
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/1st-global-diversity-and-investment-summit-2/
CATEGORIES:Partner Events
ATTACH;FMTTYPE=image/webp:https://wca.org/wp-content/uploads/wcp-logo-100x93-1.webp
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20210618T100000
DTEND;TZID=America/Los_Angeles:20210618T120000
DTSTAMP:20260620T014055
CREATED:20210604T043051Z
LAST-MODIFIED:20210604T043052Z
UID:15622-1624010400-1624017600@wca.org
SUMMARY:1st Global Diversity and Investment Summit
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/1st-global-diversity-and-investment-summit/
CATEGORIES:Partner Events
ATTACH;FMTTYPE=image/webp:https://wca.org/wp-content/uploads/wcp-logo-100x93-1.webp
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20210616T003000
DTEND;TZID=America/Los_Angeles:20210616T010000
DTSTAMP:20260620T014055
CREATED:20210609T022828Z
LAST-MODIFIED:20210609T022830Z
UID:27638-1623803400-1623805200@wca.org
SUMMARY:Thales Cinterion IoT Suite Connectivity Activation Launch Party
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/thales-cinterion-iot-suite-connectivity-activation-launch-party/
CATEGORIES:Industry Events
ATTACH;FMTTYPE=image/webp:https://wca.org/wp-content/uploads/Thumb_ThalesLogo.webp
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20210615T083000
DTEND;TZID=America/Los_Angeles:20210615T113000
DTSTAMP:20260620T014055
CREATED:20210527T172006Z
LAST-MODIFIED:20210528T200509Z
UID:3532-1623745800-1623756600@wca.org
SUMMARY:TC3 Innovation Review on Telehealth & mHealth
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-innovation-review-on-telehealth-mhealth/
CATEGORIES:Partner Events
ATTACH;FMTTYPE=image/webp:https://wca.org/wp-content/uploads/TelecomCouncilThumb.webp
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20210526T160000
DTEND;TZID=America/Los_Angeles:20210526T173000
DTSTAMP:20260620T014055
CREATED:20210505T211518Z
LAST-MODIFIED:20210528T164708Z
UID:2912-1622044800-1622050200@wca.org
SUMMARY:IoT Application Series: Connected Wearables in an AR / VR World
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/iot-application-series-connected-wearables-in-an-a-r-v-r-world/
CATEGORIES:WCA Center Stage
ATTACH;FMTTYPE=image/png:https://wca.org/wp-content/uploads/Voler_Iot-Event_thumb.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20210513T080000
DTEND;TZID=America/Los_Angeles:20210514T170000
DTSTAMP:20260620T014055
CREATED:20210108T230103Z
LAST-MODIFIED:20210507T094017Z
UID:2435-1620892800-1621011600@wca.org
SUMMARY:Innovation Showcase Demo Day 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/innovation-showcase-demo-day-2021/
CATEGORIES:Partner Events
ATTACH;FMTTYPE=image/png:https://wca.org/wp-content/uploads/telecomCouncil02.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20210512T070000
DTEND;TZID=America/Los_Angeles:20210512T120000
DTSTAMP:20260620T014055
CREATED:20210505T212735Z
LAST-MODIFIED:20210507T094421Z
UID:2927-1620802800-1620820800@wca.org
SUMMARY:TIP OpenWiFi Launch 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/tip-openwifi-launch-2021/
CATEGORIES:Partner Events
ATTACH;FMTTYPE=image/png:https://wca.org/wp-content/uploads/OpenWifi02.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20210506T130000
DTEND;TZID=America/Los_Angeles:20210506T143000
DTSTAMP:20260620T014055
CREATED:20210421T164717Z
LAST-MODIFIED:20210517T011306Z
UID:2658-1620306000-1620311400@wca.org
SUMMARY:Location-Based Services: Where is Waldo? A survey about Indoor and Outdoor deployments and use cases using LBS
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/location-based-services-where-is-waldo/
CATEGORIES:WCA Center Stage
ATTACH;FMTTYPE=image/png:https://wca.org/wp-content/uploads/FeaturedImage-WhereIsWaldo.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20210427T000000
DTEND;TZID=America/Los_Angeles:20210427T010000
DTSTAMP:20260620T014055
CREATED:20210421T000032Z
LAST-MODIFIED:20210421T000141Z
UID:2648-1619481600-1619485200@wca.org
SUMMARY:Implementing Long-Range Wireless Power Transfer Technology Easily
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/implementing-long-range-wireless-power-transfer-technology-easily/
LOCATION:The virtual technology sharing session\, jointly organised by IPI and TransferFi on 27 April
CATEGORIES:Partner Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20210325T160000
DTEND;TZID=America/Los_Angeles:20210325T173000
DTSTAMP:20260620T014055
CREATED:20210227T210633Z
LAST-MODIFIED:20210404T151013Z
UID:2483-1616688000-1616693400@wca.org
SUMMARY:Wireless Power Transfer 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-power-transfer-2021/
CATEGORIES:WCA Center Stage
ATTACH;FMTTYPE=image/jpeg:https://wca.org/wp-content/uploads/Wireless-Power-Transfer-2021-II.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20210318T083000
DTEND;TZID=America/Los_Angeles:20210318T113000
DTSTAMP:20260620T014055
CREATED:20210108T230616Z
LAST-MODIFIED:20210108T231058Z
UID:2440-1616056200-1616067000@wca.org
SUMMARY:Innovation Review on Energy in Telecom
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/innovation-review-on-energy-in-telecom/
CATEGORIES:Partner Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20210223T160000
DTEND;TZID=America/Los_Angeles:20210223T173000
DTSTAMP:20260620T014055
CREATED:20210128T213301Z
LAST-MODIFIED:20210516T235920Z
UID:2457-1614096000-1614101400@wca.org
SUMMARY:6G - Spectrum for 95 GHz and Above
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/6g-spectrum-for-95-ghz-and-above/
CATEGORIES:WCA Center Stage
ATTACH;FMTTYPE=image/jpeg:https://wca.org/wp-content/uploads/6G-2021-Logo-e1611870221287.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20210126T160000
DTEND;TZID=America/Los_Angeles:20210126T173000
DTSTAMP:20260620T014055
CREATED:20201126T181816Z
LAST-MODIFIED:20210129T155244Z
UID:2320-1611676800-1611682200@wca.org
SUMMARY:Spectrum: 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/spectrum-2021/
CATEGORIES:WCA Center Stage
ATTACH;FMTTYPE=image/jpeg:https://wca.org/wp-content/uploads/2017/10/Electromagnetic-Spectrum-Westinghouse2.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20210121T083000
DTEND;TZID=America/Los_Angeles:20210121T113000
DTSTAMP:20260620T014055
CREATED:20210108T230426Z
LAST-MODIFIED:20210108T230427Z
UID:2437-1611217800-1611228600@wca.org
SUMMARY:IoT Forum on Cybersecurity
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/iot-forum-on-cybersecurity/
CATEGORIES:Partner Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20201217T083000
DTEND;TZID=America/Los_Angeles:20201217T103000
DTSTAMP:20260620T014055
CREATED:20201126T155105Z
LAST-MODIFIED:20201126T155106Z
UID:2303-1608193800-1608201000@wca.org
SUMMARY:December Innovation Review on Smart Manufacturing
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/december-innovation-review-on-smart-manufacturing/
LOCATION:Telecom Council Lounge Virtual Meeting Room
CATEGORIES:Partner Events
ATTACH;FMTTYPE=image/png:https://wca.org/wp-content/uploads/9fe12ad02db04a00b58b194e55e0603c.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20201216T130000
DTEND;TZID=America/Los_Angeles:20201216T140000
DTSTAMP:20260620T014055
CREATED:20201125T185453Z
LAST-MODIFIED:20210517T010744Z
UID:2288-1608123600-1608127200@wca.org
SUMMARY:Moving People & Things Safely in the COVID Era
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/moving-people-things-safely-in-the-covid-era/
CATEGORIES:WCA Center Stage
ATTACH;FMTTYPE=image/png:https://wca.org/wp-content/uploads/FeaturedImage-movingPeople.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20201118T160000
DTEND;TZID=America/Los_Angeles:20201118T170000
DTSTAMP:20260620T014055
CREATED:20201020T212334Z
LAST-MODIFIED:20210517T044445Z
UID:2251-1605715200-1605718800@wca.org
SUMMARY:What's Hot\, What's Not
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/whats-hot-whats-not-2/
CATEGORIES:WCA Center Stage
ATTACH;FMTTYPE=image/jpeg:https://wca.org/wp-content/uploads/image001-3.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20201104T083000
DTEND;TZID=America/Los_Angeles:20201104T110000
DTSTAMP:20260620T014055
CREATED:20201014T181747Z
LAST-MODIFIED:20201027T215414Z
UID:2226-1604478600-1604487600@wca.org
SUMMARY:ComTech Forum on Private Networks\, PWLAN & Slices
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/comtech-forum-on-private-networks-pwlan-slices/
CATEGORIES:Partner Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20201026T083000
DTEND;TZID=America/Los_Angeles:20201027T170000
DTSTAMP:20260620T014055
CREATED:20200911T175517Z
LAST-MODIFIED:20200911T175518Z
UID:2209-1603701000-1603818000@wca.org
SUMMARY:TC3 Carrier Connections
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-2/
CATEGORIES:Partner Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20201021T160000
DTEND;TZID=America/Los_Angeles:20201021T170000
DTSTAMP:20260620T014055
CREATED:20200911T181555Z
LAST-MODIFIED:20200911T181555Z
UID:35592-1603296000-1603299600@wca.org
SUMMARY:The Next IoT Revolution
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-next-iot-revolution-2/
CATEGORIES:WCA Center Stage
ATTACH;FMTTYPE=image/png:https://wca.org/wp-content/uploads/Next-IoT-Revolution-2020.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20201021T160000
DTEND;TZID=America/Los_Angeles:20201021T170000
DTSTAMP:20260620T014055
CREATED:20200911T181555Z
LAST-MODIFIED:20210517T050126Z
UID:2211-1603296000-1603299600@wca.org
SUMMARY:The Next IoT Revolution
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-next-iot-revolution/
CATEGORIES:WCA Center Stage
ATTACH;FMTTYPE=image/png:https://wca.org/wp-content/uploads/Next-IoT-Revolution-2020.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20201014T010000
DTEND;TZID=America/Los_Angeles:20201016T060000
DTSTAMP:20260620T014056
CREATED:20200909T201938Z
LAST-MODIFIED:20200909T201938Z
UID:35590-1602637200-1602828000@wca.org
SUMMARY:One World Together - Cybersecurity Symposium for Smart Cities 2020
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/one-world-together-cybersecurity-symposium-for-smart-cities-2020-2/
CATEGORIES:Industry Events
ATTACH;FMTTYPE=image/jpeg:https://wca.org/wp-content/uploads/https___cdn.evbuc_.com_images_105880696_237594438873_1_sm.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20200929T080000
DTEND;TZID=America/Los_Angeles:20201008T170000
DTSTAMP:20260620T014056
CREATED:20200216T194256Z
LAST-MODIFIED:20200216T194256Z
UID:35579-1601366400-1602176400@wca.org
SUMMARY:Virtual Wi-Fi World Congress  2020
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\n \n\n\n\n\n\n\n\n\n\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\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\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\n\n\n \n\n		\n	\n\n\n\n\n\n\n\n\n\n \n\nAbout 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-world-congress-usa-2/
LOCATION:Pullman San Francisco Bay Hotel\, 223 Twin Dolphin Dr\, Redwood City\, CA\, 94065\, United States
CATEGORIES:Partner Events
ORGANIZER;CN="WiFi Now":MAILTO:charlotte@wifinowevents.com
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20200924T160000
DTEND;TZID=America/Los_Angeles:20200924T170000
DTSTAMP:20260620T014056
CREATED:20200830T213258Z
LAST-MODIFIED:20210517T050847Z
UID:2175-1600963200-1600966800@wca.org
SUMMARY:Gizmos & Gadgets 2020
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-gadgets-2020/
CATEGORIES:WCA Center Stage
ATTACH;FMTTYPE=image/png:https://wca.org/wp-content/uploads/SensorWorks.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20200917T083000
DTEND;TZID=America/Los_Angeles:20200917T110000
DTSTAMP:20260620T014056
CREATED:20200811T171705Z
LAST-MODIFIED:20200811T171925Z
UID:2170-1600331400-1600340400@wca.org
SUMMARY:IoT Forum on Logistics 4.0 - Powered by IoT
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/iot-forum-on-logistics-4-0-powered-by-iot/
CATEGORIES:Partner Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20200723T130000
DTEND;TZID=America/Los_Angeles:20200723T140000
DTSTAMP:20260620T014056
CREATED:20200629T172843Z
LAST-MODIFIED:20210517T214746Z
UID:2140-1595509200-1595512800@wca.org
SUMMARY:5G is Overhyped - Learn what it can really do!
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-is-overhyped-learn-what-it-can-really-do/
CATEGORIES:WCA Center Stage
ATTACH;FMTTYPE=image/jpeg:https://wca.org/wp-content/uploads/WCA-Voler-logo-e1593451554393.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20200715T013000
DTEND;TZID=America/Los_Angeles:20200716T100000
DTSTAMP:20260620T014056
CREATED:20200714T183647Z
LAST-MODIFIED:20200714T183739Z
UID:2155-1594776600-1594893600@wca.org
SUMMARY:TC3 - Innovation IntordUKtions
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/innovation-intorduktions/
CATEGORIES:Partner Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20200625T160000
DTEND;TZID=America/Los_Angeles:20200625T170000
DTSTAMP:20260620T014056
CREATED:20200522T220737Z
LAST-MODIFIED:20210518T204813Z
UID:2095-1593100800-1593104400@wca.org
SUMMARY:Webinar - Terahertz Technology - The Next 6G
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/webinar-terahertz-technology-the-next-6g/
CATEGORIES:WCA Center Stage
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