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DTSTART;TZID=America/Los_Angeles:20210121T083000
DTEND;TZID=America/Los_Angeles:20210121T113000
DTSTAMP:20260620T125013
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:20210126T160000
DTEND;TZID=America/Los_Angeles:20210126T173000
DTSTAMP:20260620T125013
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:20210223T160000
DTEND;TZID=America/Los_Angeles:20210223T173000
DTSTAMP:20260620T125013
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:20210318T083000
DTEND;TZID=America/Los_Angeles:20210318T113000
DTSTAMP:20260620T125013
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:20210325T160000
DTEND;TZID=America/Los_Angeles:20210325T173000
DTSTAMP:20260620T125013
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:20210427T000000
DTEND;TZID=America/Los_Angeles:20210427T010000
DTSTAMP:20260620T125013
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:20210506T130000
DTEND;TZID=America/Los_Angeles:20210506T143000
DTSTAMP:20260620T125013
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:20210512T070000
DTEND;TZID=America/Los_Angeles:20210512T120000
DTSTAMP:20260620T125013
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:20210513T080000
DTEND;TZID=America/Los_Angeles:20210514T170000
DTSTAMP:20260620T125013
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:20210526T160000
DTEND;TZID=America/Los_Angeles:20210526T173000
DTSTAMP:20260620T125013
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:20210615T083000
DTEND;TZID=America/Los_Angeles:20210615T113000
DTSTAMP:20260620T125013
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:20210616T003000
DTEND;TZID=America/Los_Angeles:20210616T010000
DTSTAMP:20260620T125013
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:20210618T100000
DTEND;TZID=America/Los_Angeles:20210618T120000
DTSTAMP:20260620T125013
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:20260620T125013
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:20210622T080000
DTEND;TZID=America/Los_Angeles:20210625T170000
DTSTAMP:20260620T125013
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:20210623T090000
DTEND;TZID=America/Los_Angeles:20210623T230000
DTSTAMP:20260620T125014
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:20210629T010000
DTEND;TZID=America/Los_Angeles:20210629T013000
DTSTAMP:20260620T125014
CREATED:20210603T185546Z
LAST-MODIFIED:20210603T185809Z
UID:15598-1624928400-1624930200@wca.org
SUMMARY:What's Your Competitive Edge?!
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-your-competitive-edge/
CATEGORIES:Partner Events
ATTACH;FMTTYPE=image/webp:https://wca.org/wp-content/uploads/VolerSystems_logo.webp
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20210721T080000
DTEND;TZID=America/Los_Angeles:20210723T170000
DTSTAMP:20260620T125014
CREATED:20210618T190033Z
LAST-MODIFIED:20210619T193526Z
UID:27754-1626854400-1627059600@wca.org
SUMMARY:2021 GCTC Agriculture and Rural SuperCluster Workshop
DESCRIPTION:Edge‑AI for the Next Generation of Connected Systems						\n												\n						 The Technologies Shaping Tomorrow’s Intelligent Edge Ecosystem						\n											\n						\n					\n					\n\n\n	\nEdge AI is changing how devices sense\, think\, and act in real time. Today\, it helps systems work faster\, smarter\, and with less human support. As a result\, IoT\, industrial\, and smart infrastructure networks can do more at the edge. They can also save energy\, reduce downtime\, and respond faster to change. \nThis World of Connected AI (WCA) roundtable brings four technology leaders together. They will explore how key technologies support smarter edge systems.These include wireless power\, shared energy intelligence\, long range connectivity\, and AI driven sensing. Together\, these tools create systems that can run with greater freedom and scale.They also help build cleaner\, stronger\, and more reliable digital infrastructure. \nHow Does Wireless Power Help Edge AI Grow?\nWireless power removes many limits linked to standard batteries. Because of this\, edge devices can keep sensing without frequent battery changes. They can also work longer and deliver steady performance. This reduces service visits and lowers the cost of large device networks. \nIn addition\, wireless power supports sensors in hard to reach places. So\, teams can place devices where data matters most.This gives Edge AI systems more reach\, better uptime\, and stronger field performance. \nEdge AI and Smarter Energy Management\nDecentralized energy systems are changing how microgrids work.I nstead of relying on one main controller\, assets can share decisions. Solar panels\, storage units\, and EV chargers can adapt as conditions change. As a result\, energy networks become more flexible and more resilient. \nEdge AI adds value by helping these assets act in real time. It can track demand\, balance supply\, and support cleaner energy use. Therefore\, microgrids can respond faster while using resources more wisely. \nLong Range Connectivity Expands Edge AI Networks\nLong range\, low power wireless networks help Edge AI scale across wide areas. These networks support thousands of connected devices without heavy energy use. They also improve coverage for cities\, factories\, farms\, and remote sites. For example\, sub GHz IoT connectivity can link devices across large spaces. It gives teams reliable data without complex wiring or high power needs. As a result\, organizations can build larger and smarter edge networks. \nAI Driven Sensing Turns Data Into Action\nSmart sensing platforms help turn raw data into useful insight. They can detect changes\, spot risks\, and guide faster decisions. Because of this\, teams gain clearer visibility across daily operations. These systems also support logistics\, safety\, and industrial work. They can automate tasks\, improve alerts\, and reduce response times. Meanwhile\, real time analytics help people act before small issues grow. \nEdge AI Builds Resilient and Scalable Infrastructure\nTogether\, these technologies move Edge AI from idea to real deployment. They support systems that can adapt\, save energy\, and operate with less support. They also help industries build stronger networks for the future. Attendees will learn about new architectures and cross industry use cases. They will also see how collaboration can speed the next wave of edge innovation. With the right ecosystem\, Edge AI can power smarter\, cleaner\, and more independent systems. \n\n\n\n\n	\nHow Edge AI Is Powering Smarter\, Self-Sufficient IoT Ecosystems\nEdge AI is reshaping how devices sense\, process\, and act in real time. As a result\, it unlocks new levels of intelligence\, efficiency\, and autonomy across IoT\, industrial\, and smart infrastructure environments. This WCA roundtable brings together four technology leaders\, Energous\, Heila\, Newracom\, and Sensitel with SenseAI\, to examine how wireless power\, distributed energy intelligence\, long range connectivity\, and AI driven sensing combine to create a new generation of self powered\, resilient\, and scalable edge systems. \nWireless Power Networks Eliminate Battery Limits\nEnergous leads the discussion by presenting advances in wireless power networks. These networks remove battery limitations and support continuous sensing at the edge. Consequently\, devices can operate longer\, maintain consistent performance\, and reduce the maintenance burden that traditional battery powered systems create. \nDecentralized Energy Management Reshapes Microgrids\nHeila then demonstrates how autonomous and decentralized energy management transforms microgrids and distributed energy resources. Solar\, storage\, and EV assets work together and adapt without relying on a central controller. In turn\, this approach gives Edge AI systems the flexibility to respond to changing energy conditions in real time. \nLong Range Connectivity Strengthens Edge AI Architectures\nNewracom explains how Wi Fi HaLow delivers long range\, low power connectivity. This capability proves essential for large scale IoT deployments and forms a strong foundation for robust Edge AI architectures. Moreover\, it allows organizations to connect thousands of devices across wide areas without sacrificing power efficiency. \nIntelligent Sensing Brings Context to Raw Data\nSensitel\, powered by SenseAI\, rounds out the panel by showing how intelligent sensing\, workflow automation\, and real time analytics bring contextual awareness to the edge. As a result\, raw sensor data becomes actionable insight that supports operations\, logistics\, and safety across industries. \nWhat Attendees Will Gain\nTogether\, these four perspectives show how Edge AI moves from concept to real world deployment. The result is a class of systems that adapts more readily\, operates more sustainably\, and functions independently at scale. Attendees leave with a clear view of emerging architectures\, cross industry use cases\, and the collaborative ecosystem needed to drive the next wave of intelligent edge innovation. \n\n\n\n\n		\n	\n\n\n\n		\n	\n\n\n\n		\n	\n\n\n\n		\n	\n\n\n\n	About Sensors Converge\nSensors Converge is North America’s leading event for sensing\, processing\, connectivity\, power\, and edge AI innovation. \nDiscover more than 200 exhibitors and thousands of technologies across 50 product categories.\nHear directly from experts shaping the next generation of intelligent systems. \nProfessionals building IoT\, edge AI\, embedded systems\, or connected devices will find valuable insights and partners.\nThis is where breakthrough ideas move from concept to real-world deployment. \nJoin the engineering and technology community driving the future of connected innovation.
URL:https://wca.org/event/2021-gctc-agriculture-and-rural-supercluster-workshop/
CATEGORIES:Partner Events
ATTACH;FMTTYPE=image/webp:https://wca.org/wp-content/uploads/Thumb_Perdusevent.webp
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20210727T130000
DTEND;TZID=America/Los_Angeles:20210727T143000
DTSTAMP:20260620T125014
CREATED:20210616T010307Z
LAST-MODIFIED:20210817T061146Z
UID:27720-1627390800-1627396200@wca.org
SUMMARY:Broadband in Underserved Rural Areas - 2021
DESCRIPTION:Edge‑AI for the Next Generation of Connected Systems						\n												\n						 The Technologies Shaping Tomorrow’s Intelligent Edge Ecosystem						\n											\n						\n					\n					\n\n\n	\nEdge AI is changing how devices sense\, think\, and act in real time. Today\, it helps systems work faster\, smarter\, and with less human support. As a result\, IoT\, industrial\, and smart infrastructure networks can do more at the edge. They can also save energy\, reduce downtime\, and respond faster to change. \nThis World of Connected AI (WCA) roundtable brings four technology leaders together. They will explore how key technologies support smarter edge systems.These include wireless power\, shared energy intelligence\, long range connectivity\, and AI driven sensing. Together\, these tools create systems that can run with greater freedom and scale.They also help build cleaner\, stronger\, and more reliable digital infrastructure. \nHow Does Wireless Power Help Edge AI Grow?\nWireless power removes many limits linked to standard batteries. Because of this\, edge devices can keep sensing without frequent battery changes. They can also work longer and deliver steady performance. This reduces service visits and lowers the cost of large device networks. \nIn addition\, wireless power supports sensors in hard to reach places. So\, teams can place devices where data matters most.This gives Edge AI systems more reach\, better uptime\, and stronger field performance. \nEdge AI and Smarter Energy Management\nDecentralized energy systems are changing how microgrids work.I nstead of relying on one main controller\, assets can share decisions. Solar panels\, storage units\, and EV chargers can adapt as conditions change. As a result\, energy networks become more flexible and more resilient. \nEdge AI adds value by helping these assets act in real time. It can track demand\, balance supply\, and support cleaner energy use. Therefore\, microgrids can respond faster while using resources more wisely. \nLong Range Connectivity Expands Edge AI Networks\nLong range\, low power wireless networks help Edge AI scale across wide areas. These networks support thousands of connected devices without heavy energy use. They also improve coverage for cities\, factories\, farms\, and remote sites. For example\, sub GHz IoT connectivity can link devices across large spaces. It gives teams reliable data without complex wiring or high power needs. As a result\, organizations can build larger and smarter edge networks. \nAI Driven Sensing Turns Data Into Action\nSmart sensing platforms help turn raw data into useful insight. They can detect changes\, spot risks\, and guide faster decisions. Because of this\, teams gain clearer visibility across daily operations. These systems also support logistics\, safety\, and industrial work. They can automate tasks\, improve alerts\, and reduce response times. Meanwhile\, real time analytics help people act before small issues grow. \nEdge AI Builds Resilient and Scalable Infrastructure\nTogether\, these technologies move Edge AI from idea to real deployment. They support systems that can adapt\, save energy\, and operate with less support. They also help industries build stronger networks for the future. Attendees will learn about new architectures and cross industry use cases. They will also see how collaboration can speed the next wave of edge innovation. With the right ecosystem\, Edge AI can power smarter\, cleaner\, and more independent systems. \n\n\n\n\n	\nHow Edge AI Is Powering Smarter\, Self-Sufficient IoT Ecosystems\nEdge AI is reshaping how devices sense\, process\, and act in real time. As a result\, it unlocks new levels of intelligence\, efficiency\, and autonomy across IoT\, industrial\, and smart infrastructure environments. This WCA roundtable brings together four technology leaders\, Energous\, Heila\, Newracom\, and Sensitel with SenseAI\, to examine how wireless power\, distributed energy intelligence\, long range connectivity\, and AI driven sensing combine to create a new generation of self powered\, resilient\, and scalable edge systems. \nWireless Power Networks Eliminate Battery Limits\nEnergous leads the discussion by presenting advances in wireless power networks. These networks remove battery limitations and support continuous sensing at the edge. Consequently\, devices can operate longer\, maintain consistent performance\, and reduce the maintenance burden that traditional battery powered systems create. \nDecentralized Energy Management Reshapes Microgrids\nHeila then demonstrates how autonomous and decentralized energy management transforms microgrids and distributed energy resources. Solar\, storage\, and EV assets work together and adapt without relying on a central controller. In turn\, this approach gives Edge AI systems the flexibility to respond to changing energy conditions in real time. \nLong Range Connectivity Strengthens Edge AI Architectures\nNewracom explains how Wi Fi HaLow delivers long range\, low power connectivity. This capability proves essential for large scale IoT deployments and forms a strong foundation for robust Edge AI architectures. Moreover\, it allows organizations to connect thousands of devices across wide areas without sacrificing power efficiency. \nIntelligent Sensing Brings Context to Raw Data\nSensitel\, powered by SenseAI\, rounds out the panel by showing how intelligent sensing\, workflow automation\, and real time analytics bring contextual awareness to the edge. As a result\, raw sensor data becomes actionable insight that supports operations\, logistics\, and safety across industries. \nWhat Attendees Will Gain\nTogether\, these four perspectives show how Edge AI moves from concept to real world deployment. The result is a class of systems that adapts more readily\, operates more sustainably\, and functions independently at scale. Attendees leave with a clear view of emerging architectures\, cross industry use cases\, and the collaborative ecosystem needed to drive the next wave of intelligent edge innovation. \n\n\n\n\n		\n	\n\n\n\n		\n	\n\n\n\n		\n	\n\n\n\n		\n	\n\n\n\n	About Sensors Converge\nSensors Converge is North America’s leading event for sensing\, processing\, connectivity\, power\, and edge AI innovation. \nDiscover more than 200 exhibitors and thousands of technologies across 50 product categories.\nHear directly from experts shaping the next generation of intelligent systems. \nProfessionals building IoT\, edge AI\, embedded systems\, or connected devices will find valuable insights and partners.\nThis is where breakthrough ideas move from concept to real-world deployment. \nJoin the engineering and technology community driving the future of connected innovation.
URL:https://wca.org/event/broadband-in-underserved-rural-areas-2021/
CATEGORIES:WCA Center Stage
ATTACH;FMTTYPE=image/webp:https://wca.org/wp-content/uploads/Thumb_Broadband-copy.webp
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20210817T080000
DTEND;TZID=America/Los_Angeles:20210817T093000
DTSTAMP:20260620T125014
CREATED:20210812T013648Z
LAST-MODIFIED:20210812T013653Z
UID:32862-1629187200-1629192600@wca.org
SUMMARY:Distance ‘Wireless’ Charging Technology\, a reality!
DESCRIPTION:Edge‑AI for the Next Generation of Connected Systems						\n												\n						 The Technologies Shaping Tomorrow’s Intelligent Edge Ecosystem						\n											\n						\n					\n					\n\n\n	\nEdge AI is changing how devices sense\, think\, and act in real time. Today\, it helps systems work faster\, smarter\, and with less human support. As a result\, IoT\, industrial\, and smart infrastructure networks can do more at the edge. They can also save energy\, reduce downtime\, and respond faster to change. \nThis World of Connected AI (WCA) roundtable brings four technology leaders together. They will explore how key technologies support smarter edge systems.These include wireless power\, shared energy intelligence\, long range connectivity\, and AI driven sensing. Together\, these tools create systems that can run with greater freedom and scale.They also help build cleaner\, stronger\, and more reliable digital infrastructure. \nHow Does Wireless Power Help Edge AI Grow?\nWireless power removes many limits linked to standard batteries. Because of this\, edge devices can keep sensing without frequent battery changes. They can also work longer and deliver steady performance. This reduces service visits and lowers the cost of large device networks. \nIn addition\, wireless power supports sensors in hard to reach places. So\, teams can place devices where data matters most.This gives Edge AI systems more reach\, better uptime\, and stronger field performance. \nEdge AI and Smarter Energy Management\nDecentralized energy systems are changing how microgrids work.I nstead of relying on one main controller\, assets can share decisions. Solar panels\, storage units\, and EV chargers can adapt as conditions change. As a result\, energy networks become more flexible and more resilient. \nEdge AI adds value by helping these assets act in real time. It can track demand\, balance supply\, and support cleaner energy use. Therefore\, microgrids can respond faster while using resources more wisely. \nLong Range Connectivity Expands Edge AI Networks\nLong range\, low power wireless networks help Edge AI scale across wide areas. These networks support thousands of connected devices without heavy energy use. They also improve coverage for cities\, factories\, farms\, and remote sites. For example\, sub GHz IoT connectivity can link devices across large spaces. It gives teams reliable data without complex wiring or high power needs. As a result\, organizations can build larger and smarter edge networks. \nAI Driven Sensing Turns Data Into Action\nSmart sensing platforms help turn raw data into useful insight. They can detect changes\, spot risks\, and guide faster decisions. Because of this\, teams gain clearer visibility across daily operations. These systems also support logistics\, safety\, and industrial work. They can automate tasks\, improve alerts\, and reduce response times. Meanwhile\, real time analytics help people act before small issues grow. \nEdge AI Builds Resilient and Scalable Infrastructure\nTogether\, these technologies move Edge AI from idea to real deployment. They support systems that can adapt\, save energy\, and operate with less support. They also help industries build stronger networks for the future. Attendees will learn about new architectures and cross industry use cases. They will also see how collaboration can speed the next wave of edge innovation. With the right ecosystem\, Edge AI can power smarter\, cleaner\, and more independent systems. \n\n\n\n\n	\nHow Edge AI Is Powering Smarter\, Self-Sufficient IoT Ecosystems\nEdge AI is reshaping how devices sense\, process\, and act in real time. As a result\, it unlocks new levels of intelligence\, efficiency\, and autonomy across IoT\, industrial\, and smart infrastructure environments. This WCA roundtable brings together four technology leaders\, Energous\, Heila\, Newracom\, and Sensitel with SenseAI\, to examine how wireless power\, distributed energy intelligence\, long range connectivity\, and AI driven sensing combine to create a new generation of self powered\, resilient\, and scalable edge systems. \nWireless Power Networks Eliminate Battery Limits\nEnergous leads the discussion by presenting advances in wireless power networks. These networks remove battery limitations and support continuous sensing at the edge. Consequently\, devices can operate longer\, maintain consistent performance\, and reduce the maintenance burden that traditional battery powered systems create. \nDecentralized Energy Management Reshapes Microgrids\nHeila then demonstrates how autonomous and decentralized energy management transforms microgrids and distributed energy resources. Solar\, storage\, and EV assets work together and adapt without relying on a central controller. In turn\, this approach gives Edge AI systems the flexibility to respond to changing energy conditions in real time. \nLong Range Connectivity Strengthens Edge AI Architectures\nNewracom explains how Wi Fi HaLow delivers long range\, low power connectivity. This capability proves essential for large scale IoT deployments and forms a strong foundation for robust Edge AI architectures. Moreover\, it allows organizations to connect thousands of devices across wide areas without sacrificing power efficiency. \nIntelligent Sensing Brings Context to Raw Data\nSensitel\, powered by SenseAI\, rounds out the panel by showing how intelligent sensing\, workflow automation\, and real time analytics bring contextual awareness to the edge. As a result\, raw sensor data becomes actionable insight that supports operations\, logistics\, and safety across industries. \nWhat Attendees Will Gain\nTogether\, these four perspectives show how Edge AI moves from concept to real world deployment. The result is a class of systems that adapts more readily\, operates more sustainably\, and functions independently at scale. Attendees leave with a clear view of emerging architectures\, cross industry use cases\, and the collaborative ecosystem needed to drive the next wave of intelligent edge innovation. \n\n\n\n\n		\n	\n\n\n\n		\n	\n\n\n\n		\n	\n\n\n\n		\n	\n\n\n\n	About Sensors Converge\nSensors Converge is North America’s leading event for sensing\, processing\, connectivity\, power\, and edge AI innovation. \nDiscover more than 200 exhibitors and thousands of technologies across 50 product categories.\nHear directly from experts shaping the next generation of intelligent systems. \nProfessionals building IoT\, edge AI\, embedded systems\, or connected devices will find valuable insights and partners.\nThis is where breakthrough ideas move from concept to real-world deployment. \nJoin the engineering and technology community driving the future of connected innovation.
URL:https://wca.org/event/distance-wireless-charging-technology-a-reality/
CATEGORIES:Partner Events
ATTACH;FMTTYPE=image/webp:https://wca.org/wp-content/uploads/Thumb_WWT_event.webp
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20210818T090000
DTEND;TZID=America/Los_Angeles:20210818T110000
DTSTAMP:20260620T125014
CREATED:20210618T232056Z
LAST-MODIFIED:20210820T033254Z
UID:27758-1629277200-1629284400@wca.org
SUMMARY:Wireless Connectivity for Smart Everything - 2021
DESCRIPTION:Edge‑AI for the Next Generation of Connected Systems						\n												\n						 The Technologies Shaping Tomorrow’s Intelligent Edge Ecosystem						\n											\n						\n					\n					\n\n\n	\nEdge AI is changing how devices sense\, think\, and act in real time. Today\, it helps systems work faster\, smarter\, and with less human support. As a result\, IoT\, industrial\, and smart infrastructure networks can do more at the edge. They can also save energy\, reduce downtime\, and respond faster to change. \nThis World of Connected AI (WCA) roundtable brings four technology leaders together. They will explore how key technologies support smarter edge systems.These include wireless power\, shared energy intelligence\, long range connectivity\, and AI driven sensing. Together\, these tools create systems that can run with greater freedom and scale.They also help build cleaner\, stronger\, and more reliable digital infrastructure. \nHow Does Wireless Power Help Edge AI Grow?\nWireless power removes many limits linked to standard batteries. Because of this\, edge devices can keep sensing without frequent battery changes. They can also work longer and deliver steady performance. This reduces service visits and lowers the cost of large device networks. \nIn addition\, wireless power supports sensors in hard to reach places. So\, teams can place devices where data matters most.This gives Edge AI systems more reach\, better uptime\, and stronger field performance. \nEdge AI and Smarter Energy Management\nDecentralized energy systems are changing how microgrids work.I nstead of relying on one main controller\, assets can share decisions. Solar panels\, storage units\, and EV chargers can adapt as conditions change. As a result\, energy networks become more flexible and more resilient. \nEdge AI adds value by helping these assets act in real time. It can track demand\, balance supply\, and support cleaner energy use. Therefore\, microgrids can respond faster while using resources more wisely. \nLong Range Connectivity Expands Edge AI Networks\nLong range\, low power wireless networks help Edge AI scale across wide areas. These networks support thousands of connected devices without heavy energy use. They also improve coverage for cities\, factories\, farms\, and remote sites. For example\, sub GHz IoT connectivity can link devices across large spaces. It gives teams reliable data without complex wiring or high power needs. As a result\, organizations can build larger and smarter edge networks. \nAI Driven Sensing Turns Data Into Action\nSmart sensing platforms help turn raw data into useful insight. They can detect changes\, spot risks\, and guide faster decisions. Because of this\, teams gain clearer visibility across daily operations. These systems also support logistics\, safety\, and industrial work. They can automate tasks\, improve alerts\, and reduce response times. Meanwhile\, real time analytics help people act before small issues grow. \nEdge AI Builds Resilient and Scalable Infrastructure\nTogether\, these technologies move Edge AI from idea to real deployment. They support systems that can adapt\, save energy\, and operate with less support. They also help industries build stronger networks for the future. Attendees will learn about new architectures and cross industry use cases. They will also see how collaboration can speed the next wave of edge innovation. With the right ecosystem\, Edge AI can power smarter\, cleaner\, and more independent systems. \n\n\n\n\n	\nHow Edge AI Is Powering Smarter\, Self-Sufficient IoT Ecosystems\nEdge AI is reshaping how devices sense\, process\, and act in real time. As a result\, it unlocks new levels of intelligence\, efficiency\, and autonomy across IoT\, industrial\, and smart infrastructure environments. This WCA roundtable brings together four technology leaders\, Energous\, Heila\, Newracom\, and Sensitel with SenseAI\, to examine how wireless power\, distributed energy intelligence\, long range connectivity\, and AI driven sensing combine to create a new generation of self powered\, resilient\, and scalable edge systems. \nWireless Power Networks Eliminate Battery Limits\nEnergous leads the discussion by presenting advances in wireless power networks. These networks remove battery limitations and support continuous sensing at the edge. Consequently\, devices can operate longer\, maintain consistent performance\, and reduce the maintenance burden that traditional battery powered systems create. \nDecentralized Energy Management Reshapes Microgrids\nHeila then demonstrates how autonomous and decentralized energy management transforms microgrids and distributed energy resources. Solar\, storage\, and EV assets work together and adapt without relying on a central controller. In turn\, this approach gives Edge AI systems the flexibility to respond to changing energy conditions in real time. \nLong Range Connectivity Strengthens Edge AI Architectures\nNewracom explains how Wi Fi HaLow delivers long range\, low power connectivity. This capability proves essential for large scale IoT deployments and forms a strong foundation for robust Edge AI architectures. Moreover\, it allows organizations to connect thousands of devices across wide areas without sacrificing power efficiency. \nIntelligent Sensing Brings Context to Raw Data\nSensitel\, powered by SenseAI\, rounds out the panel by showing how intelligent sensing\, workflow automation\, and real time analytics bring contextual awareness to the edge. As a result\, raw sensor data becomes actionable insight that supports operations\, logistics\, and safety across industries. \nWhat Attendees Will Gain\nTogether\, these four perspectives show how Edge AI moves from concept to real world deployment. The result is a class of systems that adapts more readily\, operates more sustainably\, and functions independently at scale. Attendees leave with a clear view of emerging architectures\, cross industry use cases\, and the collaborative ecosystem needed to drive the next wave of intelligent edge innovation. \n\n\n\n\n		\n	\n\n\n\n		\n	\n\n\n\n		\n	\n\n\n\n		\n	\n\n\n\n	About Sensors Converge\nSensors Converge is North America’s leading event for sensing\, processing\, connectivity\, power\, and edge AI innovation. \nDiscover more than 200 exhibitors and thousands of technologies across 50 product categories.\nHear directly from experts shaping the next generation of intelligent systems. \nProfessionals building IoT\, edge AI\, embedded systems\, or connected devices will find valuable insights and partners.\nThis is where breakthrough ideas move from concept to real-world deployment. \nJoin the engineering and technology community driving the future of connected innovation.
URL:https://wca.org/event/wireless-connectivity-for-smart-everything-2021/
CATEGORIES:WCA Center Stage
ATTACH;FMTTYPE=image/webp:https://wca.org/wp-content/uploads/SmartEverything.webp
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20210902T130000
DTEND;TZID=America/Los_Angeles:20210902T140000
DTSTAMP:20260620T125014
CREATED:20210802T232225Z
LAST-MODIFIED:20210906T193601Z
UID:32758-1630587600-1630591200@wca.org
SUMMARY:“Connected Everything” Hardware Security Attacks - 2021
DESCRIPTION:Edge‑AI for the Next Generation of Connected Systems						\n												\n						 The Technologies Shaping Tomorrow’s Intelligent Edge Ecosystem						\n											\n						\n					\n					\n\n\n	\nEdge AI is changing how devices sense\, think\, and act in real time. Today\, it helps systems work faster\, smarter\, and with less human support. As a result\, IoT\, industrial\, and smart infrastructure networks can do more at the edge. They can also save energy\, reduce downtime\, and respond faster to change. \nThis World of Connected AI (WCA) roundtable brings four technology leaders together. They will explore how key technologies support smarter edge systems.These include wireless power\, shared energy intelligence\, long range connectivity\, and AI driven sensing. Together\, these tools create systems that can run with greater freedom and scale.They also help build cleaner\, stronger\, and more reliable digital infrastructure. \nHow Does Wireless Power Help Edge AI Grow?\nWireless power removes many limits linked to standard batteries. Because of this\, edge devices can keep sensing without frequent battery changes. They can also work longer and deliver steady performance. This reduces service visits and lowers the cost of large device networks. \nIn addition\, wireless power supports sensors in hard to reach places. So\, teams can place devices where data matters most.This gives Edge AI systems more reach\, better uptime\, and stronger field performance. \nEdge AI and Smarter Energy Management\nDecentralized energy systems are changing how microgrids work.I nstead of relying on one main controller\, assets can share decisions. Solar panels\, storage units\, and EV chargers can adapt as conditions change. As a result\, energy networks become more flexible and more resilient. \nEdge AI adds value by helping these assets act in real time. It can track demand\, balance supply\, and support cleaner energy use. Therefore\, microgrids can respond faster while using resources more wisely. \nLong Range Connectivity Expands Edge AI Networks\nLong range\, low power wireless networks help Edge AI scale across wide areas. These networks support thousands of connected devices without heavy energy use. They also improve coverage for cities\, factories\, farms\, and remote sites. For example\, sub GHz IoT connectivity can link devices across large spaces. It gives teams reliable data without complex wiring or high power needs. As a result\, organizations can build larger and smarter edge networks. \nAI Driven Sensing Turns Data Into Action\nSmart sensing platforms help turn raw data into useful insight. They can detect changes\, spot risks\, and guide faster decisions. Because of this\, teams gain clearer visibility across daily operations. These systems also support logistics\, safety\, and industrial work. They can automate tasks\, improve alerts\, and reduce response times. Meanwhile\, real time analytics help people act before small issues grow. \nEdge AI Builds Resilient and Scalable Infrastructure\nTogether\, these technologies move Edge AI from idea to real deployment. They support systems that can adapt\, save energy\, and operate with less support. They also help industries build stronger networks for the future. Attendees will learn about new architectures and cross industry use cases. They will also see how collaboration can speed the next wave of edge innovation. With the right ecosystem\, Edge AI can power smarter\, cleaner\, and more independent systems. \n\n\n\n\n	\nHow Edge AI Is Powering Smarter\, Self-Sufficient IoT Ecosystems\nEdge AI is reshaping how devices sense\, process\, and act in real time. As a result\, it unlocks new levels of intelligence\, efficiency\, and autonomy across IoT\, industrial\, and smart infrastructure environments. This WCA roundtable brings together four technology leaders\, Energous\, Heila\, Newracom\, and Sensitel with SenseAI\, to examine how wireless power\, distributed energy intelligence\, long range connectivity\, and AI driven sensing combine to create a new generation of self powered\, resilient\, and scalable edge systems. \nWireless Power Networks Eliminate Battery Limits\nEnergous leads the discussion by presenting advances in wireless power networks. These networks remove battery limitations and support continuous sensing at the edge. Consequently\, devices can operate longer\, maintain consistent performance\, and reduce the maintenance burden that traditional battery powered systems create. \nDecentralized Energy Management Reshapes Microgrids\nHeila then demonstrates how autonomous and decentralized energy management transforms microgrids and distributed energy resources. Solar\, storage\, and EV assets work together and adapt without relying on a central controller. In turn\, this approach gives Edge AI systems the flexibility to respond to changing energy conditions in real time. \nLong Range Connectivity Strengthens Edge AI Architectures\nNewracom explains how Wi Fi HaLow delivers long range\, low power connectivity. This capability proves essential for large scale IoT deployments and forms a strong foundation for robust Edge AI architectures. Moreover\, it allows organizations to connect thousands of devices across wide areas without sacrificing power efficiency. \nIntelligent Sensing Brings Context to Raw Data\nSensitel\, powered by SenseAI\, rounds out the panel by showing how intelligent sensing\, workflow automation\, and real time analytics bring contextual awareness to the edge. As a result\, raw sensor data becomes actionable insight that supports operations\, logistics\, and safety across industries. \nWhat Attendees Will Gain\nTogether\, these four perspectives show how Edge AI moves from concept to real world deployment. The result is a class of systems that adapts more readily\, operates more sustainably\, and functions independently at scale. Attendees leave with a clear view of emerging architectures\, cross industry use cases\, and the collaborative ecosystem needed to drive the next wave of intelligent edge innovation. \n\n\n\n\n		\n	\n\n\n\n		\n	\n\n\n\n		\n	\n\n\n\n		\n	\n\n\n\n	About Sensors Converge\nSensors Converge is North America’s leading event for sensing\, processing\, connectivity\, power\, and edge AI innovation. \nDiscover more than 200 exhibitors and thousands of technologies across 50 product categories.\nHear directly from experts shaping the next generation of intelligent systems. \nProfessionals building IoT\, edge AI\, embedded systems\, or connected devices will find valuable insights and partners.\nThis is where breakthrough ideas move from concept to real-world deployment. \nJoin the engineering and technology community driving the future of connected innovation.
URL:https://wca.org/event/connected-everything-hardware-security-attacks-2021/
CATEGORIES:WCA Center Stage
ATTACH;FMTTYPE=image/webp:https://wca.org/wp-content/uploads/Thumb_Hardware-Security-Attacks-2021-e1627947453535.webp
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20210907T100000
DTEND;TZID=America/Los_Angeles:20210907T110000
DTSTAMP:20260620T125014
CREATED:20210820T053520Z
LAST-MODIFIED:20210823T024628Z
UID:32949-1631008800-1631012400@wca.org
SUMMARY:5G Things Dialogues at (Ericsson) D-15: Connecting the Startup ecosystem event
DESCRIPTION:Edge‑AI for the Next Generation of Connected Systems						\n												\n						 The Technologies Shaping Tomorrow’s Intelligent Edge Ecosystem						\n											\n						\n					\n					\n\n\n	\nEdge AI is changing how devices sense\, think\, and act in real time. Today\, it helps systems work faster\, smarter\, and with less human support. As a result\, IoT\, industrial\, and smart infrastructure networks can do more at the edge. They can also save energy\, reduce downtime\, and respond faster to change. \nThis World of Connected AI (WCA) roundtable brings four technology leaders together. They will explore how key technologies support smarter edge systems.These include wireless power\, shared energy intelligence\, long range connectivity\, and AI driven sensing. Together\, these tools create systems that can run with greater freedom and scale.They also help build cleaner\, stronger\, and more reliable digital infrastructure. \nHow Does Wireless Power Help Edge AI Grow?\nWireless power removes many limits linked to standard batteries. Because of this\, edge devices can keep sensing without frequent battery changes. They can also work longer and deliver steady performance. This reduces service visits and lowers the cost of large device networks. \nIn addition\, wireless power supports sensors in hard to reach places. So\, teams can place devices where data matters most.This gives Edge AI systems more reach\, better uptime\, and stronger field performance. \nEdge AI and Smarter Energy Management\nDecentralized energy systems are changing how microgrids work.I nstead of relying on one main controller\, assets can share decisions. Solar panels\, storage units\, and EV chargers can adapt as conditions change. As a result\, energy networks become more flexible and more resilient. \nEdge AI adds value by helping these assets act in real time. It can track demand\, balance supply\, and support cleaner energy use. Therefore\, microgrids can respond faster while using resources more wisely. \nLong Range Connectivity Expands Edge AI Networks\nLong range\, low power wireless networks help Edge AI scale across wide areas. These networks support thousands of connected devices without heavy energy use. They also improve coverage for cities\, factories\, farms\, and remote sites. For example\, sub GHz IoT connectivity can link devices across large spaces. It gives teams reliable data without complex wiring or high power needs. As a result\, organizations can build larger and smarter edge networks. \nAI Driven Sensing Turns Data Into Action\nSmart sensing platforms help turn raw data into useful insight. They can detect changes\, spot risks\, and guide faster decisions. Because of this\, teams gain clearer visibility across daily operations. These systems also support logistics\, safety\, and industrial work. They can automate tasks\, improve alerts\, and reduce response times. Meanwhile\, real time analytics help people act before small issues grow. \nEdge AI Builds Resilient and Scalable Infrastructure\nTogether\, these technologies move Edge AI from idea to real deployment. They support systems that can adapt\, save energy\, and operate with less support. They also help industries build stronger networks for the future. Attendees will learn about new architectures and cross industry use cases. They will also see how collaboration can speed the next wave of edge innovation. With the right ecosystem\, Edge AI can power smarter\, cleaner\, and more independent systems. \n\n\n\n\n	\nHow Edge AI Is Powering Smarter\, Self-Sufficient IoT Ecosystems\nEdge AI is reshaping how devices sense\, process\, and act in real time. As a result\, it unlocks new levels of intelligence\, efficiency\, and autonomy across IoT\, industrial\, and smart infrastructure environments. This WCA roundtable brings together four technology leaders\, Energous\, Heila\, Newracom\, and Sensitel with SenseAI\, to examine how wireless power\, distributed energy intelligence\, long range connectivity\, and AI driven sensing combine to create a new generation of self powered\, resilient\, and scalable edge systems. \nWireless Power Networks Eliminate Battery Limits\nEnergous leads the discussion by presenting advances in wireless power networks. These networks remove battery limitations and support continuous sensing at the edge. Consequently\, devices can operate longer\, maintain consistent performance\, and reduce the maintenance burden that traditional battery powered systems create. \nDecentralized Energy Management Reshapes Microgrids\nHeila then demonstrates how autonomous and decentralized energy management transforms microgrids and distributed energy resources. Solar\, storage\, and EV assets work together and adapt without relying on a central controller. In turn\, this approach gives Edge AI systems the flexibility to respond to changing energy conditions in real time. \nLong Range Connectivity Strengthens Edge AI Architectures\nNewracom explains how Wi Fi HaLow delivers long range\, low power connectivity. This capability proves essential for large scale IoT deployments and forms a strong foundation for robust Edge AI architectures. Moreover\, it allows organizations to connect thousands of devices across wide areas without sacrificing power efficiency. \nIntelligent Sensing Brings Context to Raw Data\nSensitel\, powered by SenseAI\, rounds out the panel by showing how intelligent sensing\, workflow automation\, and real time analytics bring contextual awareness to the edge. As a result\, raw sensor data becomes actionable insight that supports operations\, logistics\, and safety across industries. \nWhat Attendees Will Gain\nTogether\, these four perspectives show how Edge AI moves from concept to real world deployment. The result is a class of systems that adapts more readily\, operates more sustainably\, and functions independently at scale. Attendees leave with a clear view of emerging architectures\, cross industry use cases\, and the collaborative ecosystem needed to drive the next wave of intelligent edge innovation. \n\n\n\n\n		\n	\n\n\n\n		\n	\n\n\n\n		\n	\n\n\n\n		\n	\n\n\n\n	About Sensors Converge\nSensors Converge is North America’s leading event for sensing\, processing\, connectivity\, power\, and edge AI innovation. \nDiscover more than 200 exhibitors and thousands of technologies across 50 product categories.\nHear directly from experts shaping the next generation of intelligent systems. \nProfessionals building IoT\, edge AI\, embedded systems\, or connected devices will find valuable insights and partners.\nThis is where breakthrough ideas move from concept to real-world deployment. \nJoin the engineering and technology community driving the future of connected innovation.
URL:https://wca.org/event/5g-things-dialogues-at-d-15-connecting-the-startup-ecosystem-event/
CATEGORIES:Partner Events
ATTACH;FMTTYPE=image/webp:https://wca.org/wp-content/uploads/Thumb_EricssonD15Sept7-e1629438407229.webp
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20210921T080000
DTEND;TZID=America/Los_Angeles:20210923T170000
DTSTAMP:20260620T125014
CREATED:20210713T222512Z
LAST-MODIFIED:20210713T222514Z
UID:32647-1632211200-1632416400@wca.org
SUMMARY:Automotive LIDAR 2021
DESCRIPTION:Edge‑AI for the Next Generation of Connected Systems						\n												\n						 The Technologies Shaping Tomorrow’s Intelligent Edge Ecosystem						\n											\n						\n					\n					\n\n\n	\nEdge AI is changing how devices sense\, think\, and act in real time. Today\, it helps systems work faster\, smarter\, and with less human support. As a result\, IoT\, industrial\, and smart infrastructure networks can do more at the edge. They can also save energy\, reduce downtime\, and respond faster to change. \nThis World of Connected AI (WCA) roundtable brings four technology leaders together. They will explore how key technologies support smarter edge systems.These include wireless power\, shared energy intelligence\, long range connectivity\, and AI driven sensing. Together\, these tools create systems that can run with greater freedom and scale.They also help build cleaner\, stronger\, and more reliable digital infrastructure. \nHow Does Wireless Power Help Edge AI Grow?\nWireless power removes many limits linked to standard batteries. Because of this\, edge devices can keep sensing without frequent battery changes. They can also work longer and deliver steady performance. This reduces service visits and lowers the cost of large device networks. \nIn addition\, wireless power supports sensors in hard to reach places. So\, teams can place devices where data matters most.This gives Edge AI systems more reach\, better uptime\, and stronger field performance. \nEdge AI and Smarter Energy Management\nDecentralized energy systems are changing how microgrids work.I nstead of relying on one main controller\, assets can share decisions. Solar panels\, storage units\, and EV chargers can adapt as conditions change. As a result\, energy networks become more flexible and more resilient. \nEdge AI adds value by helping these assets act in real time. It can track demand\, balance supply\, and support cleaner energy use. Therefore\, microgrids can respond faster while using resources more wisely. \nLong Range Connectivity Expands Edge AI Networks\nLong range\, low power wireless networks help Edge AI scale across wide areas. These networks support thousands of connected devices without heavy energy use. They also improve coverage for cities\, factories\, farms\, and remote sites. For example\, sub GHz IoT connectivity can link devices across large spaces. It gives teams reliable data without complex wiring or high power needs. As a result\, organizations can build larger and smarter edge networks. \nAI Driven Sensing Turns Data Into Action\nSmart sensing platforms help turn raw data into useful insight. They can detect changes\, spot risks\, and guide faster decisions. Because of this\, teams gain clearer visibility across daily operations. These systems also support logistics\, safety\, and industrial work. They can automate tasks\, improve alerts\, and reduce response times. Meanwhile\, real time analytics help people act before small issues grow. \nEdge AI Builds Resilient and Scalable Infrastructure\nTogether\, these technologies move Edge AI from idea to real deployment. They support systems that can adapt\, save energy\, and operate with less support. They also help industries build stronger networks for the future. Attendees will learn about new architectures and cross industry use cases. They will also see how collaboration can speed the next wave of edge innovation. With the right ecosystem\, Edge AI can power smarter\, cleaner\, and more independent systems. \n\n\n\n\n	\nHow Edge AI Is Powering Smarter\, Self-Sufficient IoT Ecosystems\nEdge AI is reshaping how devices sense\, process\, and act in real time. As a result\, it unlocks new levels of intelligence\, efficiency\, and autonomy across IoT\, industrial\, and smart infrastructure environments. This WCA roundtable brings together four technology leaders\, Energous\, Heila\, Newracom\, and Sensitel with SenseAI\, to examine how wireless power\, distributed energy intelligence\, long range connectivity\, and AI driven sensing combine to create a new generation of self powered\, resilient\, and scalable edge systems. \nWireless Power Networks Eliminate Battery Limits\nEnergous leads the discussion by presenting advances in wireless power networks. These networks remove battery limitations and support continuous sensing at the edge. Consequently\, devices can operate longer\, maintain consistent performance\, and reduce the maintenance burden that traditional battery powered systems create. \nDecentralized Energy Management Reshapes Microgrids\nHeila then demonstrates how autonomous and decentralized energy management transforms microgrids and distributed energy resources. Solar\, storage\, and EV assets work together and adapt without relying on a central controller. In turn\, this approach gives Edge AI systems the flexibility to respond to changing energy conditions in real time. \nLong Range Connectivity Strengthens Edge AI Architectures\nNewracom explains how Wi Fi HaLow delivers long range\, low power connectivity. This capability proves essential for large scale IoT deployments and forms a strong foundation for robust Edge AI architectures. Moreover\, it allows organizations to connect thousands of devices across wide areas without sacrificing power efficiency. \nIntelligent Sensing Brings Context to Raw Data\nSensitel\, powered by SenseAI\, rounds out the panel by showing how intelligent sensing\, workflow automation\, and real time analytics bring contextual awareness to the edge. As a result\, raw sensor data becomes actionable insight that supports operations\, logistics\, and safety across industries. \nWhat Attendees Will Gain\nTogether\, these four perspectives show how Edge AI moves from concept to real world deployment. The result is a class of systems that adapts more readily\, operates more sustainably\, and functions independently at scale. Attendees leave with a clear view of emerging architectures\, cross industry use cases\, and the collaborative ecosystem needed to drive the next wave of intelligent edge innovation. \n\n\n\n\n		\n	\n\n\n\n		\n	\n\n\n\n		\n	\n\n\n\n		\n	\n\n\n\n	About Sensors Converge\nSensors Converge is North America’s leading event for sensing\, processing\, connectivity\, power\, and edge AI innovation. \nDiscover more than 200 exhibitors and thousands of technologies across 50 product categories.\nHear directly from experts shaping the next generation of intelligent systems. \nProfessionals building IoT\, edge AI\, embedded systems\, or connected devices will find valuable insights and partners.\nThis is where breakthrough ideas move from concept to real-world deployment. \nJoin the engineering and technology community driving the future of connected innovation.
URL:https://wca.org/event/automotive-lidar-2021/
CATEGORIES:Partner Events
ATTACH;FMTTYPE=image/webp:https://wca.org/wp-content/uploads/Thumb_Lidar2021.webp
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20210923T083000
DTEND;TZID=America/Los_Angeles:20210923T113000
DTSTAMP:20260620T125014
CREATED:20210806T190405Z
LAST-MODIFIED:20210903T175719Z
UID:32811-1632385800-1632396600@wca.org
SUMMARY:Telecom Council Innovation Review on 5G RAN
DESCRIPTION:Edge‑AI for the Next Generation of Connected Systems						\n												\n						 The Technologies Shaping Tomorrow’s Intelligent Edge Ecosystem						\n											\n						\n					\n					\n\n\n	\nEdge AI is changing how devices sense\, think\, and act in real time. Today\, it helps systems work faster\, smarter\, and with less human support. As a result\, IoT\, industrial\, and smart infrastructure networks can do more at the edge. They can also save energy\, reduce downtime\, and respond faster to change. \nThis World of Connected AI (WCA) roundtable brings four technology leaders together. They will explore how key technologies support smarter edge systems.These include wireless power\, shared energy intelligence\, long range connectivity\, and AI driven sensing. Together\, these tools create systems that can run with greater freedom and scale.They also help build cleaner\, stronger\, and more reliable digital infrastructure. \nHow Does Wireless Power Help Edge AI Grow?\nWireless power removes many limits linked to standard batteries. Because of this\, edge devices can keep sensing without frequent battery changes. They can also work longer and deliver steady performance. This reduces service visits and lowers the cost of large device networks. \nIn addition\, wireless power supports sensors in hard to reach places. So\, teams can place devices where data matters most.This gives Edge AI systems more reach\, better uptime\, and stronger field performance. \nEdge AI and Smarter Energy Management\nDecentralized energy systems are changing how microgrids work.I nstead of relying on one main controller\, assets can share decisions. Solar panels\, storage units\, and EV chargers can adapt as conditions change. As a result\, energy networks become more flexible and more resilient. \nEdge AI adds value by helping these assets act in real time. It can track demand\, balance supply\, and support cleaner energy use. Therefore\, microgrids can respond faster while using resources more wisely. \nLong Range Connectivity Expands Edge AI Networks\nLong range\, low power wireless networks help Edge AI scale across wide areas. These networks support thousands of connected devices without heavy energy use. They also improve coverage for cities\, factories\, farms\, and remote sites. For example\, sub GHz IoT connectivity can link devices across large spaces. It gives teams reliable data without complex wiring or high power needs. As a result\, organizations can build larger and smarter edge networks. \nAI Driven Sensing Turns Data Into Action\nSmart sensing platforms help turn raw data into useful insight. They can detect changes\, spot risks\, and guide faster decisions. Because of this\, teams gain clearer visibility across daily operations. These systems also support logistics\, safety\, and industrial work. They can automate tasks\, improve alerts\, and reduce response times. Meanwhile\, real time analytics help people act before small issues grow. \nEdge AI Builds Resilient and Scalable Infrastructure\nTogether\, these technologies move Edge AI from idea to real deployment. They support systems that can adapt\, save energy\, and operate with less support. They also help industries build stronger networks for the future. Attendees will learn about new architectures and cross industry use cases. They will also see how collaboration can speed the next wave of edge innovation. With the right ecosystem\, Edge AI can power smarter\, cleaner\, and more independent systems. \n\n\n\n\n	\nHow Edge AI Is Powering Smarter\, Self-Sufficient IoT Ecosystems\nEdge AI is reshaping how devices sense\, process\, and act in real time. As a result\, it unlocks new levels of intelligence\, efficiency\, and autonomy across IoT\, industrial\, and smart infrastructure environments. This WCA roundtable brings together four technology leaders\, Energous\, Heila\, Newracom\, and Sensitel with SenseAI\, to examine how wireless power\, distributed energy intelligence\, long range connectivity\, and AI driven sensing combine to create a new generation of self powered\, resilient\, and scalable edge systems. \nWireless Power Networks Eliminate Battery Limits\nEnergous leads the discussion by presenting advances in wireless power networks. These networks remove battery limitations and support continuous sensing at the edge. Consequently\, devices can operate longer\, maintain consistent performance\, and reduce the maintenance burden that traditional battery powered systems create. \nDecentralized Energy Management Reshapes Microgrids\nHeila then demonstrates how autonomous and decentralized energy management transforms microgrids and distributed energy resources. Solar\, storage\, and EV assets work together and adapt without relying on a central controller. In turn\, this approach gives Edge AI systems the flexibility to respond to changing energy conditions in real time. \nLong Range Connectivity Strengthens Edge AI Architectures\nNewracom explains how Wi Fi HaLow delivers long range\, low power connectivity. This capability proves essential for large scale IoT deployments and forms a strong foundation for robust Edge AI architectures. Moreover\, it allows organizations to connect thousands of devices across wide areas without sacrificing power efficiency. \nIntelligent Sensing Brings Context to Raw Data\nSensitel\, powered by SenseAI\, rounds out the panel by showing how intelligent sensing\, workflow automation\, and real time analytics bring contextual awareness to the edge. As a result\, raw sensor data becomes actionable insight that supports operations\, logistics\, and safety across industries. \nWhat Attendees Will Gain\nTogether\, these four perspectives show how Edge AI moves from concept to real world deployment. The result is a class of systems that adapts more readily\, operates more sustainably\, and functions independently at scale. Attendees leave with a clear view of emerging architectures\, cross industry use cases\, and the collaborative ecosystem needed to drive the next wave of intelligent edge innovation. \n\n\n\n\n		\n	\n\n\n\n		\n	\n\n\n\n		\n	\n\n\n\n		\n	\n\n\n\n	About Sensors Converge\nSensors Converge is North America’s leading event for sensing\, processing\, connectivity\, power\, and edge AI innovation. \nDiscover more than 200 exhibitors and thousands of technologies across 50 product categories.\nHear directly from experts shaping the next generation of intelligent systems. \nProfessionals building IoT\, edge AI\, embedded systems\, or connected devices will find valuable insights and partners.\nThis is where breakthrough ideas move from concept to real-world deployment. \nJoin the engineering and technology community driving the future of connected innovation.
URL:https://wca.org/event/telecom-council-innovation-review-on-5g-ran/
CATEGORIES:Partner Events
ATTACH;FMTTYPE=image/webp:https://wca.org/wp-content/uploads/thumb_TelecomCouncil.webp
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20210923T160000
DTEND;TZID=America/Los_Angeles:20210923T173000
DTSTAMP:20260620T125014
CREATED:20210708T033644Z
LAST-MODIFIED:20210924T200752Z
UID:32587-1632412800-1632418200@wca.org
SUMMARY:IIoT Sensors Gizmos & Gadgets – Oktoberfest at Home
DESCRIPTION:Edge‑AI for the Next Generation of Connected Systems						\n												\n						 The Technologies Shaping Tomorrow’s Intelligent Edge Ecosystem						\n											\n						\n					\n					\n\n\n	\nEdge AI is changing how devices sense\, think\, and act in real time. Today\, it helps systems work faster\, smarter\, and with less human support. As a result\, IoT\, industrial\, and smart infrastructure networks can do more at the edge. They can also save energy\, reduce downtime\, and respond faster to change. \nThis World of Connected AI (WCA) roundtable brings four technology leaders together. They will explore how key technologies support smarter edge systems.These include wireless power\, shared energy intelligence\, long range connectivity\, and AI driven sensing. Together\, these tools create systems that can run with greater freedom and scale.They also help build cleaner\, stronger\, and more reliable digital infrastructure. \nHow Does Wireless Power Help Edge AI Grow?\nWireless power removes many limits linked to standard batteries. Because of this\, edge devices can keep sensing without frequent battery changes. They can also work longer and deliver steady performance. This reduces service visits and lowers the cost of large device networks. \nIn addition\, wireless power supports sensors in hard to reach places. So\, teams can place devices where data matters most.This gives Edge AI systems more reach\, better uptime\, and stronger field performance. \nEdge AI and Smarter Energy Management\nDecentralized energy systems are changing how microgrids work.I nstead of relying on one main controller\, assets can share decisions. Solar panels\, storage units\, and EV chargers can adapt as conditions change. As a result\, energy networks become more flexible and more resilient. \nEdge AI adds value by helping these assets act in real time. It can track demand\, balance supply\, and support cleaner energy use. Therefore\, microgrids can respond faster while using resources more wisely. \nLong Range Connectivity Expands Edge AI Networks\nLong range\, low power wireless networks help Edge AI scale across wide areas. These networks support thousands of connected devices without heavy energy use. They also improve coverage for cities\, factories\, farms\, and remote sites. For example\, sub GHz IoT connectivity can link devices across large spaces. It gives teams reliable data without complex wiring or high power needs. As a result\, organizations can build larger and smarter edge networks. \nAI Driven Sensing Turns Data Into Action\nSmart sensing platforms help turn raw data into useful insight. They can detect changes\, spot risks\, and guide faster decisions. Because of this\, teams gain clearer visibility across daily operations. These systems also support logistics\, safety\, and industrial work. They can automate tasks\, improve alerts\, and reduce response times. Meanwhile\, real time analytics help people act before small issues grow. \nEdge AI Builds Resilient and Scalable Infrastructure\nTogether\, these technologies move Edge AI from idea to real deployment. They support systems that can adapt\, save energy\, and operate with less support. They also help industries build stronger networks for the future. Attendees will learn about new architectures and cross industry use cases. They will also see how collaboration can speed the next wave of edge innovation. With the right ecosystem\, Edge AI can power smarter\, cleaner\, and more independent systems. \n\n\n\n\n	\nHow Edge AI Is Powering Smarter\, Self-Sufficient IoT Ecosystems\nEdge AI is reshaping how devices sense\, process\, and act in real time. As a result\, it unlocks new levels of intelligence\, efficiency\, and autonomy across IoT\, industrial\, and smart infrastructure environments. This WCA roundtable brings together four technology leaders\, Energous\, Heila\, Newracom\, and Sensitel with SenseAI\, to examine how wireless power\, distributed energy intelligence\, long range connectivity\, and AI driven sensing combine to create a new generation of self powered\, resilient\, and scalable edge systems. \nWireless Power Networks Eliminate Battery Limits\nEnergous leads the discussion by presenting advances in wireless power networks. These networks remove battery limitations and support continuous sensing at the edge. Consequently\, devices can operate longer\, maintain consistent performance\, and reduce the maintenance burden that traditional battery powered systems create. \nDecentralized Energy Management Reshapes Microgrids\nHeila then demonstrates how autonomous and decentralized energy management transforms microgrids and distributed energy resources. Solar\, storage\, and EV assets work together and adapt without relying on a central controller. In turn\, this approach gives Edge AI systems the flexibility to respond to changing energy conditions in real time. \nLong Range Connectivity Strengthens Edge AI Architectures\nNewracom explains how Wi Fi HaLow delivers long range\, low power connectivity. This capability proves essential for large scale IoT deployments and forms a strong foundation for robust Edge AI architectures. Moreover\, it allows organizations to connect thousands of devices across wide areas without sacrificing power efficiency. \nIntelligent Sensing Brings Context to Raw Data\nSensitel\, powered by SenseAI\, rounds out the panel by showing how intelligent sensing\, workflow automation\, and real time analytics bring contextual awareness to the edge. As a result\, raw sensor data becomes actionable insight that supports operations\, logistics\, and safety across industries. \nWhat Attendees Will Gain\nTogether\, these four perspectives show how Edge AI moves from concept to real world deployment. The result is a class of systems that adapts more readily\, operates more sustainably\, and functions independently at scale. Attendees leave with a clear view of emerging architectures\, cross industry use cases\, and the collaborative ecosystem needed to drive the next wave of intelligent edge innovation. \n\n\n\n\n		\n	\n\n\n\n		\n	\n\n\n\n		\n	\n\n\n\n		\n	\n\n\n\n	About Sensors Converge\nSensors Converge is North America’s leading event for sensing\, processing\, connectivity\, power\, and edge AI innovation. \nDiscover more than 200 exhibitors and thousands of technologies across 50 product categories.\nHear directly from experts shaping the next generation of intelligent systems. \nProfessionals building IoT\, edge AI\, embedded systems\, or connected devices will find valuable insights and partners.\nThis is where breakthrough ideas move from concept to real-world deployment. \nJoin the engineering and technology community driving the future of connected innovation.
URL:https://wca.org/event/iiot-sensors-gizmos-gadgets-oktoberfest/
CATEGORIES:WCA Center Stage
ATTACH;FMTTYPE=image/webp:https://wca.org/wp-content/uploads/Thumb_200x_IIoTSensorsGizmosGadgetsOktoberfest.webp
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20210924T080000
DTEND;TZID=America/Los_Angeles:20210926T170000
DTSTAMP:20260620T125014
CREATED:20210821T074617Z
LAST-MODIFIED:20210910T004413Z
UID:32968-1632470400-1632675600@wca.org
SUMMARY:DeepHack: Health and Safety Monitoring
DESCRIPTION:Edge‑AI for the Next Generation of Connected Systems						\n												\n						 The Technologies Shaping Tomorrow’s Intelligent Edge Ecosystem						\n											\n						\n					\n					\n\n\n	\nEdge AI is changing how devices sense\, think\, and act in real time. Today\, it helps systems work faster\, smarter\, and with less human support. As a result\, IoT\, industrial\, and smart infrastructure networks can do more at the edge. They can also save energy\, reduce downtime\, and respond faster to change. \nThis World of Connected AI (WCA) roundtable brings four technology leaders together. They will explore how key technologies support smarter edge systems.These include wireless power\, shared energy intelligence\, long range connectivity\, and AI driven sensing. Together\, these tools create systems that can run with greater freedom and scale.They also help build cleaner\, stronger\, and more reliable digital infrastructure. \nHow Does Wireless Power Help Edge AI Grow?\nWireless power removes many limits linked to standard batteries. Because of this\, edge devices can keep sensing without frequent battery changes. They can also work longer and deliver steady performance. This reduces service visits and lowers the cost of large device networks. \nIn addition\, wireless power supports sensors in hard to reach places. So\, teams can place devices where data matters most.This gives Edge AI systems more reach\, better uptime\, and stronger field performance. \nEdge AI and Smarter Energy Management\nDecentralized energy systems are changing how microgrids work.I nstead of relying on one main controller\, assets can share decisions. Solar panels\, storage units\, and EV chargers can adapt as conditions change. As a result\, energy networks become more flexible and more resilient. \nEdge AI adds value by helping these assets act in real time. It can track demand\, balance supply\, and support cleaner energy use. Therefore\, microgrids can respond faster while using resources more wisely. \nLong Range Connectivity Expands Edge AI Networks\nLong range\, low power wireless networks help Edge AI scale across wide areas. These networks support thousands of connected devices without heavy energy use. They also improve coverage for cities\, factories\, farms\, and remote sites. For example\, sub GHz IoT connectivity can link devices across large spaces. It gives teams reliable data without complex wiring or high power needs. As a result\, organizations can build larger and smarter edge networks. \nAI Driven Sensing Turns Data Into Action\nSmart sensing platforms help turn raw data into useful insight. They can detect changes\, spot risks\, and guide faster decisions. Because of this\, teams gain clearer visibility across daily operations. These systems also support logistics\, safety\, and industrial work. They can automate tasks\, improve alerts\, and reduce response times. Meanwhile\, real time analytics help people act before small issues grow. \nEdge AI Builds Resilient and Scalable Infrastructure\nTogether\, these technologies move Edge AI from idea to real deployment. They support systems that can adapt\, save energy\, and operate with less support. They also help industries build stronger networks for the future. Attendees will learn about new architectures and cross industry use cases. They will also see how collaboration can speed the next wave of edge innovation. With the right ecosystem\, Edge AI can power smarter\, cleaner\, and more independent systems. \n\n\n\n\n	\nHow Edge AI Is Powering Smarter\, Self-Sufficient IoT Ecosystems\nEdge AI is reshaping how devices sense\, process\, and act in real time. As a result\, it unlocks new levels of intelligence\, efficiency\, and autonomy across IoT\, industrial\, and smart infrastructure environments. This WCA roundtable brings together four technology leaders\, Energous\, Heila\, Newracom\, and Sensitel with SenseAI\, to examine how wireless power\, distributed energy intelligence\, long range connectivity\, and AI driven sensing combine to create a new generation of self powered\, resilient\, and scalable edge systems. \nWireless Power Networks Eliminate Battery Limits\nEnergous leads the discussion by presenting advances in wireless power networks. These networks remove battery limitations and support continuous sensing at the edge. Consequently\, devices can operate longer\, maintain consistent performance\, and reduce the maintenance burden that traditional battery powered systems create. \nDecentralized Energy Management Reshapes Microgrids\nHeila then demonstrates how autonomous and decentralized energy management transforms microgrids and distributed energy resources. Solar\, storage\, and EV assets work together and adapt without relying on a central controller. In turn\, this approach gives Edge AI systems the flexibility to respond to changing energy conditions in real time. \nLong Range Connectivity Strengthens Edge AI Architectures\nNewracom explains how Wi Fi HaLow delivers long range\, low power connectivity. This capability proves essential for large scale IoT deployments and forms a strong foundation for robust Edge AI architectures. Moreover\, it allows organizations to connect thousands of devices across wide areas without sacrificing power efficiency. \nIntelligent Sensing Brings Context to Raw Data\nSensitel\, powered by SenseAI\, rounds out the panel by showing how intelligent sensing\, workflow automation\, and real time analytics bring contextual awareness to the edge. As a result\, raw sensor data becomes actionable insight that supports operations\, logistics\, and safety across industries. \nWhat Attendees Will Gain\nTogether\, these four perspectives show how Edge AI moves from concept to real world deployment. The result is a class of systems that adapts more readily\, operates more sustainably\, and functions independently at scale. Attendees leave with a clear view of emerging architectures\, cross industry use cases\, and the collaborative ecosystem needed to drive the next wave of intelligent edge innovation. \n\n\n\n\n		\n	\n\n\n\n		\n	\n\n\n\n		\n	\n\n\n\n		\n	\n\n\n\n	About Sensors Converge\nSensors Converge is North America’s leading event for sensing\, processing\, connectivity\, power\, and edge AI innovation. \nDiscover more than 200 exhibitors and thousands of technologies across 50 product categories.\nHear directly from experts shaping the next generation of intelligent systems. \nProfessionals building IoT\, edge AI\, embedded systems\, or connected devices will find valuable insights and partners.\nThis is where breakthrough ideas move from concept to real-world deployment. \nJoin the engineering and technology community driving the future of connected innovation.
URL:https://wca.org/event/deephack-health-and-safety-monitoring/
CATEGORIES:Partner Events
ATTACH;FMTTYPE=image/jpeg:https://wca.org/wp-content/uploads/thumb_eitHacketon.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20211012T090000
DTEND;TZID=America/Los_Angeles:20211012T100000
DTSTAMP:20260620T125014
CREATED:20210922T202425Z
LAST-MODIFIED:20210922T202722Z
UID:33141-1634029200-1634032800@wca.org
SUMMARY:Launch of The Silicon Valley Poll
DESCRIPTION:Edge‑AI for the Next Generation of Connected Systems						\n												\n						 The Technologies Shaping Tomorrow’s Intelligent Edge Ecosystem						\n											\n						\n					\n					\n\n\n	\nEdge AI is changing how devices sense\, think\, and act in real time. Today\, it helps systems work faster\, smarter\, and with less human support. As a result\, IoT\, industrial\, and smart infrastructure networks can do more at the edge. They can also save energy\, reduce downtime\, and respond faster to change. \nThis World of Connected AI (WCA) roundtable brings four technology leaders together. They will explore how key technologies support smarter edge systems.These include wireless power\, shared energy intelligence\, long range connectivity\, and AI driven sensing. Together\, these tools create systems that can run with greater freedom and scale.They also help build cleaner\, stronger\, and more reliable digital infrastructure. \nHow Does Wireless Power Help Edge AI Grow?\nWireless power removes many limits linked to standard batteries. Because of this\, edge devices can keep sensing without frequent battery changes. They can also work longer and deliver steady performance. This reduces service visits and lowers the cost of large device networks. \nIn addition\, wireless power supports sensors in hard to reach places. So\, teams can place devices where data matters most.This gives Edge AI systems more reach\, better uptime\, and stronger field performance. \nEdge AI and Smarter Energy Management\nDecentralized energy systems are changing how microgrids work.I nstead of relying on one main controller\, assets can share decisions. Solar panels\, storage units\, and EV chargers can adapt as conditions change. As a result\, energy networks become more flexible and more resilient. \nEdge AI adds value by helping these assets act in real time. It can track demand\, balance supply\, and support cleaner energy use. Therefore\, microgrids can respond faster while using resources more wisely. \nLong Range Connectivity Expands Edge AI Networks\nLong range\, low power wireless networks help Edge AI scale across wide areas. These networks support thousands of connected devices without heavy energy use. They also improve coverage for cities\, factories\, farms\, and remote sites. For example\, sub GHz IoT connectivity can link devices across large spaces. It gives teams reliable data without complex wiring or high power needs. As a result\, organizations can build larger and smarter edge networks. \nAI Driven Sensing Turns Data Into Action\nSmart sensing platforms help turn raw data into useful insight. They can detect changes\, spot risks\, and guide faster decisions. Because of this\, teams gain clearer visibility across daily operations. These systems also support logistics\, safety\, and industrial work. They can automate tasks\, improve alerts\, and reduce response times. Meanwhile\, real time analytics help people act before small issues grow. \nEdge AI Builds Resilient and Scalable Infrastructure\nTogether\, these technologies move Edge AI from idea to real deployment. They support systems that can adapt\, save energy\, and operate with less support. They also help industries build stronger networks for the future. Attendees will learn about new architectures and cross industry use cases. They will also see how collaboration can speed the next wave of edge innovation. With the right ecosystem\, Edge AI can power smarter\, cleaner\, and more independent systems. \n\n\n\n\n	\nHow Edge AI Is Powering Smarter\, Self-Sufficient IoT Ecosystems\nEdge AI is reshaping how devices sense\, process\, and act in real time. As a result\, it unlocks new levels of intelligence\, efficiency\, and autonomy across IoT\, industrial\, and smart infrastructure environments. This WCA roundtable brings together four technology leaders\, Energous\, Heila\, Newracom\, and Sensitel with SenseAI\, to examine how wireless power\, distributed energy intelligence\, long range connectivity\, and AI driven sensing combine to create a new generation of self powered\, resilient\, and scalable edge systems. \nWireless Power Networks Eliminate Battery Limits\nEnergous leads the discussion by presenting advances in wireless power networks. These networks remove battery limitations and support continuous sensing at the edge. Consequently\, devices can operate longer\, maintain consistent performance\, and reduce the maintenance burden that traditional battery powered systems create. \nDecentralized Energy Management Reshapes Microgrids\nHeila then demonstrates how autonomous and decentralized energy management transforms microgrids and distributed energy resources. Solar\, storage\, and EV assets work together and adapt without relying on a central controller. In turn\, this approach gives Edge AI systems the flexibility to respond to changing energy conditions in real time. \nLong Range Connectivity Strengthens Edge AI Architectures\nNewracom explains how Wi Fi HaLow delivers long range\, low power connectivity. This capability proves essential for large scale IoT deployments and forms a strong foundation for robust Edge AI architectures. Moreover\, it allows organizations to connect thousands of devices across wide areas without sacrificing power efficiency. \nIntelligent Sensing Brings Context to Raw Data\nSensitel\, powered by SenseAI\, rounds out the panel by showing how intelligent sensing\, workflow automation\, and real time analytics bring contextual awareness to the edge. As a result\, raw sensor data becomes actionable insight that supports operations\, logistics\, and safety across industries. \nWhat Attendees Will Gain\nTogether\, these four perspectives show how Edge AI moves from concept to real world deployment. The result is a class of systems that adapts more readily\, operates more sustainably\, and functions independently at scale. Attendees leave with a clear view of emerging architectures\, cross industry use cases\, and the collaborative ecosystem needed to drive the next wave of intelligent edge innovation. \n\n\n\n\n		\n	\n\n\n\n		\n	\n\n\n\n		\n	\n\n\n\n		\n	\n\n\n\n	About Sensors Converge\nSensors Converge is North America’s leading event for sensing\, processing\, connectivity\, power\, and edge AI innovation. \nDiscover more than 200 exhibitors and thousands of technologies across 50 product categories.\nHear directly from experts shaping the next generation of intelligent systems. \nProfessionals building IoT\, edge AI\, embedded systems\, or connected devices will find valuable insights and partners.\nThis is where breakthrough ideas move from concept to real-world deployment. \nJoin the engineering and technology community driving the future of connected innovation.
URL:https://wca.org/event/launch-of-the-silicon-valley-poll/
CATEGORIES:Partner Events
ATTACH;FMTTYPE=image/webp:https://wca.org/wp-content/uploads/Thumb_JointVentureSV2.webp
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20211028T090000
DTEND;TZID=America/Los_Angeles:20211028T110000
DTSTAMP:20260620T125014
CREATED:20210514T221855Z
LAST-MODIFIED:20211110T173446Z
UID:3159-1635411600-1635418800@wca.org
SUMMARY:OpenWiFi - The Next Wi-Fi Revolution 2021
DESCRIPTION:Edge‑AI for the Next Generation of Connected Systems						\n												\n						 The Technologies Shaping Tomorrow’s Intelligent Edge Ecosystem						\n											\n						\n					\n					\n\n\n	\nEdge AI is changing how devices sense\, think\, and act in real time. Today\, it helps systems work faster\, smarter\, and with less human support. As a result\, IoT\, industrial\, and smart infrastructure networks can do more at the edge. They can also save energy\, reduce downtime\, and respond faster to change. \nThis World of Connected AI (WCA) roundtable brings four technology leaders together. They will explore how key technologies support smarter edge systems.These include wireless power\, shared energy intelligence\, long range connectivity\, and AI driven sensing. Together\, these tools create systems that can run with greater freedom and scale.They also help build cleaner\, stronger\, and more reliable digital infrastructure. \nHow Does Wireless Power Help Edge AI Grow?\nWireless power removes many limits linked to standard batteries. Because of this\, edge devices can keep sensing without frequent battery changes. They can also work longer and deliver steady performance. This reduces service visits and lowers the cost of large device networks. \nIn addition\, wireless power supports sensors in hard to reach places. So\, teams can place devices where data matters most.This gives Edge AI systems more reach\, better uptime\, and stronger field performance. \nEdge AI and Smarter Energy Management\nDecentralized energy systems are changing how microgrids work.I nstead of relying on one main controller\, assets can share decisions. Solar panels\, storage units\, and EV chargers can adapt as conditions change. As a result\, energy networks become more flexible and more resilient. \nEdge AI adds value by helping these assets act in real time. It can track demand\, balance supply\, and support cleaner energy use. Therefore\, microgrids can respond faster while using resources more wisely. \nLong Range Connectivity Expands Edge AI Networks\nLong range\, low power wireless networks help Edge AI scale across wide areas. These networks support thousands of connected devices without heavy energy use. They also improve coverage for cities\, factories\, farms\, and remote sites. For example\, sub GHz IoT connectivity can link devices across large spaces. It gives teams reliable data without complex wiring or high power needs. As a result\, organizations can build larger and smarter edge networks. \nAI Driven Sensing Turns Data Into Action\nSmart sensing platforms help turn raw data into useful insight. They can detect changes\, spot risks\, and guide faster decisions. Because of this\, teams gain clearer visibility across daily operations. These systems also support logistics\, safety\, and industrial work. They can automate tasks\, improve alerts\, and reduce response times. Meanwhile\, real time analytics help people act before small issues grow. \nEdge AI Builds Resilient and Scalable Infrastructure\nTogether\, these technologies move Edge AI from idea to real deployment. They support systems that can adapt\, save energy\, and operate with less support. They also help industries build stronger networks for the future. Attendees will learn about new architectures and cross industry use cases. They will also see how collaboration can speed the next wave of edge innovation. With the right ecosystem\, Edge AI can power smarter\, cleaner\, and more independent systems. \n\n\n\n\n	\nHow Edge AI Is Powering Smarter\, Self-Sufficient IoT Ecosystems\nEdge AI is reshaping how devices sense\, process\, and act in real time. As a result\, it unlocks new levels of intelligence\, efficiency\, and autonomy across IoT\, industrial\, and smart infrastructure environments. This WCA roundtable brings together four technology leaders\, Energous\, Heila\, Newracom\, and Sensitel with SenseAI\, to examine how wireless power\, distributed energy intelligence\, long range connectivity\, and AI driven sensing combine to create a new generation of self powered\, resilient\, and scalable edge systems. \nWireless Power Networks Eliminate Battery Limits\nEnergous leads the discussion by presenting advances in wireless power networks. These networks remove battery limitations and support continuous sensing at the edge. Consequently\, devices can operate longer\, maintain consistent performance\, and reduce the maintenance burden that traditional battery powered systems create. \nDecentralized Energy Management Reshapes Microgrids\nHeila then demonstrates how autonomous and decentralized energy management transforms microgrids and distributed energy resources. Solar\, storage\, and EV assets work together and adapt without relying on a central controller. In turn\, this approach gives Edge AI systems the flexibility to respond to changing energy conditions in real time. \nLong Range Connectivity Strengthens Edge AI Architectures\nNewracom explains how Wi Fi HaLow delivers long range\, low power connectivity. This capability proves essential for large scale IoT deployments and forms a strong foundation for robust Edge AI architectures. Moreover\, it allows organizations to connect thousands of devices across wide areas without sacrificing power efficiency. \nIntelligent Sensing Brings Context to Raw Data\nSensitel\, powered by SenseAI\, rounds out the panel by showing how intelligent sensing\, workflow automation\, and real time analytics bring contextual awareness to the edge. As a result\, raw sensor data becomes actionable insight that supports operations\, logistics\, and safety across industries. \nWhat Attendees Will Gain\nTogether\, these four perspectives show how Edge AI moves from concept to real world deployment. The result is a class of systems that adapts more readily\, operates more sustainably\, and functions independently at scale. Attendees leave with a clear view of emerging architectures\, cross industry use cases\, and the collaborative ecosystem needed to drive the next wave of intelligent edge innovation. \n\n\n\n\n		\n	\n\n\n\n		\n	\n\n\n\n		\n	\n\n\n\n		\n	\n\n\n\n	About Sensors Converge\nSensors Converge is North America’s leading event for sensing\, processing\, connectivity\, power\, and edge AI innovation. \nDiscover more than 200 exhibitors and thousands of technologies across 50 product categories.\nHear directly from experts shaping the next generation of intelligent systems. \nProfessionals building IoT\, edge AI\, embedded systems\, or connected devices will find valuable insights and partners.\nThis is where breakthrough ideas move from concept to real-world deployment. \nJoin the engineering and technology community driving the future of connected innovation.
URL:https://wca.org/event/open-wifi-the-next-wi-fi-revolution/
CATEGORIES:WCA Center Stage
ATTACH;FMTTYPE=image/jpeg:https://wca.org/wp-content/uploads/ThumbnailOpenWifi150x.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20211106T090000
DTEND;TZID=America/Los_Angeles:20211106T160000
DTSTAMP:20260620T125014
CREATED:20211025T192713Z
LAST-MODIFIED:20211025T193120Z
UID:33312-1636189200-1636214400@wca.org
SUMMARY:OPEN SV Annual Forum 2021
DESCRIPTION:Edge‑AI for the Next Generation of Connected Systems						\n												\n						 The Technologies Shaping Tomorrow’s Intelligent Edge Ecosystem						\n											\n						\n					\n					\n\n\n	\nEdge AI is changing how devices sense\, think\, and act in real time. Today\, it helps systems work faster\, smarter\, and with less human support. As a result\, IoT\, industrial\, and smart infrastructure networks can do more at the edge. They can also save energy\, reduce downtime\, and respond faster to change. \nThis World of Connected AI (WCA) roundtable brings four technology leaders together. They will explore how key technologies support smarter edge systems.These include wireless power\, shared energy intelligence\, long range connectivity\, and AI driven sensing. Together\, these tools create systems that can run with greater freedom and scale.They also help build cleaner\, stronger\, and more reliable digital infrastructure. \nHow Does Wireless Power Help Edge AI Grow?\nWireless power removes many limits linked to standard batteries. Because of this\, edge devices can keep sensing without frequent battery changes. They can also work longer and deliver steady performance. This reduces service visits and lowers the cost of large device networks. \nIn addition\, wireless power supports sensors in hard to reach places. So\, teams can place devices where data matters most.This gives Edge AI systems more reach\, better uptime\, and stronger field performance. \nEdge AI and Smarter Energy Management\nDecentralized energy systems are changing how microgrids work.I nstead of relying on one main controller\, assets can share decisions. Solar panels\, storage units\, and EV chargers can adapt as conditions change. As a result\, energy networks become more flexible and more resilient. \nEdge AI adds value by helping these assets act in real time. It can track demand\, balance supply\, and support cleaner energy use. Therefore\, microgrids can respond faster while using resources more wisely. \nLong Range Connectivity Expands Edge AI Networks\nLong range\, low power wireless networks help Edge AI scale across wide areas. These networks support thousands of connected devices without heavy energy use. They also improve coverage for cities\, factories\, farms\, and remote sites. For example\, sub GHz IoT connectivity can link devices across large spaces. It gives teams reliable data without complex wiring or high power needs. As a result\, organizations can build larger and smarter edge networks. \nAI Driven Sensing Turns Data Into Action\nSmart sensing platforms help turn raw data into useful insight. They can detect changes\, spot risks\, and guide faster decisions. Because of this\, teams gain clearer visibility across daily operations. These systems also support logistics\, safety\, and industrial work. They can automate tasks\, improve alerts\, and reduce response times. Meanwhile\, real time analytics help people act before small issues grow. \nEdge AI Builds Resilient and Scalable Infrastructure\nTogether\, these technologies move Edge AI from idea to real deployment. They support systems that can adapt\, save energy\, and operate with less support. They also help industries build stronger networks for the future. Attendees will learn about new architectures and cross industry use cases. They will also see how collaboration can speed the next wave of edge innovation. With the right ecosystem\, Edge AI can power smarter\, cleaner\, and more independent systems. \n\n\n\n\n	\nHow Edge AI Is Powering Smarter\, Self-Sufficient IoT Ecosystems\nEdge AI is reshaping how devices sense\, process\, and act in real time. As a result\, it unlocks new levels of intelligence\, efficiency\, and autonomy across IoT\, industrial\, and smart infrastructure environments. This WCA roundtable brings together four technology leaders\, Energous\, Heila\, Newracom\, and Sensitel with SenseAI\, to examine how wireless power\, distributed energy intelligence\, long range connectivity\, and AI driven sensing combine to create a new generation of self powered\, resilient\, and scalable edge systems. \nWireless Power Networks Eliminate Battery Limits\nEnergous leads the discussion by presenting advances in wireless power networks. These networks remove battery limitations and support continuous sensing at the edge. Consequently\, devices can operate longer\, maintain consistent performance\, and reduce the maintenance burden that traditional battery powered systems create. \nDecentralized Energy Management Reshapes Microgrids\nHeila then demonstrates how autonomous and decentralized energy management transforms microgrids and distributed energy resources. Solar\, storage\, and EV assets work together and adapt without relying on a central controller. In turn\, this approach gives Edge AI systems the flexibility to respond to changing energy conditions in real time. \nLong Range Connectivity Strengthens Edge AI Architectures\nNewracom explains how Wi Fi HaLow delivers long range\, low power connectivity. This capability proves essential for large scale IoT deployments and forms a strong foundation for robust Edge AI architectures. Moreover\, it allows organizations to connect thousands of devices across wide areas without sacrificing power efficiency. \nIntelligent Sensing Brings Context to Raw Data\nSensitel\, powered by SenseAI\, rounds out the panel by showing how intelligent sensing\, workflow automation\, and real time analytics bring contextual awareness to the edge. As a result\, raw sensor data becomes actionable insight that supports operations\, logistics\, and safety across industries. \nWhat Attendees Will Gain\nTogether\, these four perspectives show how Edge AI moves from concept to real world deployment. The result is a class of systems that adapts more readily\, operates more sustainably\, and functions independently at scale. Attendees leave with a clear view of emerging architectures\, cross industry use cases\, and the collaborative ecosystem needed to drive the next wave of intelligent edge innovation. \n\n\n\n\n		\n	\n\n\n\n		\n	\n\n\n\n		\n	\n\n\n\n		\n	\n\n\n\n	About Sensors Converge\nSensors Converge is North America’s leading event for sensing\, processing\, connectivity\, power\, and edge AI innovation. \nDiscover more than 200 exhibitors and thousands of technologies across 50 product categories.\nHear directly from experts shaping the next generation of intelligent systems. \nProfessionals building IoT\, edge AI\, embedded systems\, or connected devices will find valuable insights and partners.\nThis is where breakthrough ideas move from concept to real-world deployment. \nJoin the engineering and technology community driving the future of connected innovation.
URL:https://wca.org/event/open-sv-annual-forum-2021/
LOCATION:Santa Clara Convention Center 5001 Great America Pkwy\, Santa Clara\, CA 95054
CATEGORIES:Partner Events
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