BEGIN:VCALENDAR VERSION:2.0 PRODID:-// - ECPv6.15.20//NONSGML v1.0//EN CALSCALE:GREGORIAN METHOD:PUBLISH X-ORIGINAL-URL:https://wca.org X-WR-CALDESC:Events for REFRESH-INTERVAL;VALUE=DURATION:PT1H X-Robots-Tag:noindex X-PUBLISHED-TTL:PT1H BEGIN:VTIMEZONE TZID:America/Los_Angeles BEGIN:DAYLIGHT TZOFFSETFROM:-0800 TZOFFSETTO:-0700 TZNAME:PDT DTSTART:20180311T100000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:-0700 TZOFFSETTO:-0800 TZNAME:PST DTSTART:20181104T090000 END:STANDARD BEGIN:DAYLIGHT TZOFFSETFROM:-0800 TZOFFSETTO:-0700 TZNAME:PDT DTSTART:20190310T100000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:-0700 TZOFFSETTO:-0800 TZNAME:PST DTSTART:20191103T090000 END:STANDARD BEGIN:DAYLIGHT TZOFFSETFROM:-0800 TZOFFSETTO:-0700 TZNAME:PDT DTSTART:20200308T100000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:-0700 TZOFFSETTO:-0800 TZNAME:PST DTSTART:20201101T090000 END:STANDARD BEGIN:DAYLIGHT TZOFFSETFROM:-0800 TZOFFSETTO:-0700 TZNAME:PDT DTSTART:20210314T100000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:-0700 TZOFFSETTO:-0800 TZNAME:PST DTSTART:20211107T090000 END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20201104T083000 DTEND;TZID=America/Los_Angeles:20201104T110000 DTSTAMP:20260620T093438 CREATED:20201014T181747Z LAST-MODIFIED:20201027T215414Z UID:2226-1604478600-1604487600@wca.org SUMMARY:ComTech Forum on Private Networks\, PWLAN & Slices DESCRIPTION:Edge‑AI for the Next Generation of Connected Systems \n \n The Technologies Shaping Tomorrow’s Intelligent Edge Ecosystem \n \n \n \n \n\n\n \nEdge AI is changing how devices sense\, think\, and act in real time. Today\, it helps systems work faster\, smarter\, and with less human support. As a result\, IoT\, industrial\, and smart infrastructure networks can do more at the edge. They can also save energy\, reduce downtime\, and respond faster to change. \nThis World of Connected AI (WCA) roundtable brings four technology leaders together. They will explore how key technologies support smarter edge systems.These include wireless power\, shared energy intelligence\, long range connectivity\, and AI driven sensing. Together\, these tools create systems that can run with greater freedom and scale.They also help build cleaner\, stronger\, and more reliable digital infrastructure. \nHow Does Wireless Power Help Edge AI Grow?\nWireless power removes many limits linked to standard batteries. Because of this\, edge devices can keep sensing without frequent battery changes. They can also work longer and deliver steady performance. This reduces service visits and lowers the cost of large device networks. \nIn addition\, wireless power supports sensors in hard to reach places. So\, teams can place devices where data matters most.This gives Edge AI systems more reach\, better uptime\, and stronger field performance. \nEdge AI and Smarter Energy Management\nDecentralized energy systems are changing how microgrids work.I nstead of relying on one main controller\, assets can share decisions. Solar panels\, storage units\, and EV chargers can adapt as conditions change. As a result\, energy networks become more flexible and more resilient. \nEdge AI adds value by helping these assets act in real time. It can track demand\, balance supply\, and support cleaner energy use. Therefore\, microgrids can respond faster while using resources more wisely. \nLong Range Connectivity Expands Edge AI Networks\nLong range\, low power wireless networks help Edge AI scale across wide areas. These networks support thousands of connected devices without heavy energy use. They also improve coverage for cities\, factories\, farms\, and remote sites. For example\, sub GHz IoT connectivity can link devices across large spaces. It gives teams reliable data without complex wiring or high power needs. As a result\, organizations can build larger and smarter edge networks. \nAI Driven Sensing Turns Data Into Action\nSmart sensing platforms help turn raw data into useful insight. They can detect changes\, spot risks\, and guide faster decisions. Because of this\, teams gain clearer visibility across daily operations. These systems also support logistics\, safety\, and industrial work. They can automate tasks\, improve alerts\, and reduce response times. Meanwhile\, real time analytics help people act before small issues grow. \nEdge AI Builds Resilient and Scalable Infrastructure\nTogether\, these technologies move Edge AI from idea to real deployment. They support systems that can adapt\, save energy\, and operate with less support. They also help industries build stronger networks for the future. Attendees will learn about new architectures and cross industry use cases. They will also see how collaboration can speed the next wave of edge innovation. With the right ecosystem\, Edge AI can power smarter\, cleaner\, and more independent systems. \n\n\n\n\n \nHow Edge AI Is Powering Smarter\, Self-Sufficient IoT Ecosystems\nEdge AI is reshaping how devices sense\, process\, and act in real time. As a result\, it unlocks new levels of intelligence\, efficiency\, and autonomy across IoT\, industrial\, and smart infrastructure environments. This WCA roundtable brings together four technology leaders\, Energous\, Heila\, Newracom\, and Sensitel with SenseAI\, to examine how wireless power\, distributed energy intelligence\, long range connectivity\, and AI driven sensing combine to create a new generation of self powered\, resilient\, and scalable edge systems. \nWireless Power Networks Eliminate Battery Limits\nEnergous leads the discussion by presenting advances in wireless power networks. These networks remove battery limitations and support continuous sensing at the edge. Consequently\, devices can operate longer\, maintain consistent performance\, and reduce the maintenance burden that traditional battery powered systems create. \nDecentralized Energy Management Reshapes Microgrids\nHeila then demonstrates how autonomous and decentralized energy management transforms microgrids and distributed energy resources. Solar\, storage\, and EV assets work together and adapt without relying on a central controller. In turn\, this approach gives Edge AI systems the flexibility to respond to changing energy conditions in real time. \nLong Range Connectivity Strengthens Edge AI Architectures\nNewracom explains how Wi Fi HaLow delivers long range\, low power connectivity. This capability proves essential for large scale IoT deployments and forms a strong foundation for robust Edge AI architectures. Moreover\, it allows organizations to connect thousands of devices across wide areas without sacrificing power efficiency. \nIntelligent Sensing Brings Context to Raw Data\nSensitel\, powered by SenseAI\, rounds out the panel by showing how intelligent sensing\, workflow automation\, and real time analytics bring contextual awareness to the edge. As a result\, raw sensor data becomes actionable insight that supports operations\, logistics\, and safety across industries. \nWhat Attendees Will Gain\nTogether\, these four perspectives show how Edge AI moves from concept to real world deployment. The result is a class of systems that adapts more readily\, operates more sustainably\, and functions independently at scale. Attendees leave with a clear view of emerging architectures\, cross industry use cases\, and the collaborative ecosystem needed to drive the next wave of intelligent edge innovation. \n\n\n\n\n \n \n\n\n\n \n \n\n\n\n \n \n\n\n\n \n \n\n\n\n About Sensors Converge\nSensors Converge is North America’s leading event for sensing\, processing\, connectivity\, power\, and edge AI innovation. \nDiscover more than 200 exhibitors and thousands of technologies across 50 product categories.\nHear directly from experts shaping the next generation of intelligent systems. \nProfessionals building IoT\, edge AI\, embedded systems\, or connected devices will find valuable insights and partners.\nThis is where breakthrough ideas move from concept to real-world deployment. \nJoin the engineering and technology community driving the future of connected innovation. URL:https://wca.org/event/comtech-forum-on-private-networks-pwlan-slices/ CATEGORIES:Partner Events END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20201026T083000 DTEND;TZID=America/Los_Angeles:20201027T170000 DTSTAMP:20260620T093438 CREATED:20200911T175517Z LAST-MODIFIED:20200911T175518Z UID:2209-1603701000-1603818000@wca.org SUMMARY:TC3 Carrier Connections DESCRIPTION:Edge‑AI for the Next Generation of Connected Systems \n \n The Technologies Shaping Tomorrow’s Intelligent Edge Ecosystem \n \n \n \n \n\n\n \nEdge AI is changing how devices sense\, think\, and act in real time. Today\, it helps systems work faster\, smarter\, and with less human support. As a result\, IoT\, industrial\, and smart infrastructure networks can do more at the edge. They can also save energy\, reduce downtime\, and respond faster to change. \nThis World of Connected AI (WCA) roundtable brings four technology leaders together. They will explore how key technologies support smarter edge systems.These include wireless power\, shared energy intelligence\, long range connectivity\, and AI driven sensing. Together\, these tools create systems that can run with greater freedom and scale.They also help build cleaner\, stronger\, and more reliable digital infrastructure. \nHow Does Wireless Power Help Edge AI Grow?\nWireless power removes many limits linked to standard batteries. Because of this\, edge devices can keep sensing without frequent battery changes. They can also work longer and deliver steady performance. This reduces service visits and lowers the cost of large device networks. \nIn addition\, wireless power supports sensors in hard to reach places. So\, teams can place devices where data matters most.This gives Edge AI systems more reach\, better uptime\, and stronger field performance. \nEdge AI and Smarter Energy Management\nDecentralized energy systems are changing how microgrids work.I nstead of relying on one main controller\, assets can share decisions. Solar panels\, storage units\, and EV chargers can adapt as conditions change. As a result\, energy networks become more flexible and more resilient. \nEdge AI adds value by helping these assets act in real time. It can track demand\, balance supply\, and support cleaner energy use. Therefore\, microgrids can respond faster while using resources more wisely. \nLong Range Connectivity Expands Edge AI Networks\nLong range\, low power wireless networks help Edge AI scale across wide areas. These networks support thousands of connected devices without heavy energy use. They also improve coverage for cities\, factories\, farms\, and remote sites. For example\, sub GHz IoT connectivity can link devices across large spaces. It gives teams reliable data without complex wiring or high power needs. As a result\, organizations can build larger and smarter edge networks. \nAI Driven Sensing Turns Data Into Action\nSmart sensing platforms help turn raw data into useful insight. They can detect changes\, spot risks\, and guide faster decisions. Because of this\, teams gain clearer visibility across daily operations. These systems also support logistics\, safety\, and industrial work. They can automate tasks\, improve alerts\, and reduce response times. Meanwhile\, real time analytics help people act before small issues grow. \nEdge AI Builds Resilient and Scalable Infrastructure\nTogether\, these technologies move Edge AI from idea to real deployment. They support systems that can adapt\, save energy\, and operate with less support. They also help industries build stronger networks for the future. Attendees will learn about new architectures and cross industry use cases. They will also see how collaboration can speed the next wave of edge innovation. With the right ecosystem\, Edge AI can power smarter\, cleaner\, and more independent systems. \n\n\n\n\n \nHow Edge AI Is Powering Smarter\, Self-Sufficient IoT Ecosystems\nEdge AI is reshaping how devices sense\, process\, and act in real time. As a result\, it unlocks new levels of intelligence\, efficiency\, and autonomy across IoT\, industrial\, and smart infrastructure environments. This WCA roundtable brings together four technology leaders\, Energous\, Heila\, Newracom\, and Sensitel with SenseAI\, to examine how wireless power\, distributed energy intelligence\, long range connectivity\, and AI driven sensing combine to create a new generation of self powered\, resilient\, and scalable edge systems. \nWireless Power Networks Eliminate Battery Limits\nEnergous leads the discussion by presenting advances in wireless power networks. These networks remove battery limitations and support continuous sensing at the edge. Consequently\, devices can operate longer\, maintain consistent performance\, and reduce the maintenance burden that traditional battery powered systems create. \nDecentralized Energy Management Reshapes Microgrids\nHeila then demonstrates how autonomous and decentralized energy management transforms microgrids and distributed energy resources. Solar\, storage\, and EV assets work together and adapt without relying on a central controller. In turn\, this approach gives Edge AI systems the flexibility to respond to changing energy conditions in real time. \nLong Range Connectivity Strengthens Edge AI Architectures\nNewracom explains how Wi Fi HaLow delivers long range\, low power connectivity. This capability proves essential for large scale IoT deployments and forms a strong foundation for robust Edge AI architectures. Moreover\, it allows organizations to connect thousands of devices across wide areas without sacrificing power efficiency. \nIntelligent Sensing Brings Context to Raw Data\nSensitel\, powered by SenseAI\, rounds out the panel by showing how intelligent sensing\, workflow automation\, and real time analytics bring contextual awareness to the edge. As a result\, raw sensor data becomes actionable insight that supports operations\, logistics\, and safety across industries. \nWhat Attendees Will Gain\nTogether\, these four perspectives show how Edge AI moves from concept to real world deployment. The result is a class of systems that adapts more readily\, operates more sustainably\, and functions independently at scale. Attendees leave with a clear view of emerging architectures\, cross industry use cases\, and the collaborative ecosystem needed to drive the next wave of intelligent edge innovation. \n\n\n\n\n \n \n\n\n\n \n \n\n\n\n \n \n\n\n\n \n \n\n\n\n About Sensors Converge\nSensors Converge is North America’s leading event for sensing\, processing\, connectivity\, power\, and edge AI innovation. \nDiscover more than 200 exhibitors and thousands of technologies across 50 product categories.\nHear directly from experts shaping the next generation of intelligent systems. \nProfessionals building IoT\, edge AI\, embedded systems\, or connected devices will find valuable insights and partners.\nThis is where breakthrough ideas move from concept to real-world deployment. \nJoin the engineering and technology community driving the future of connected innovation. URL:https://wca.org/event/tc3-carrier-connections-2/ CATEGORIES:Partner Events END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20201021T160000 DTEND;TZID=America/Los_Angeles:20201021T170000 DTSTAMP:20260620T093438 CREATED:20200911T181555Z LAST-MODIFIED:20200911T181555Z UID:35592-1603296000-1603299600@wca.org SUMMARY:The Next IoT Revolution DESCRIPTION:Edge‑AI for the Next Generation of Connected Systems \n \n The Technologies Shaping Tomorrow’s Intelligent Edge Ecosystem \n \n \n \n \n\n\n \nEdge AI is changing how devices sense\, think\, and act in real time. Today\, it helps systems work faster\, smarter\, and with less human support. As a result\, IoT\, industrial\, and smart infrastructure networks can do more at the edge. They can also save energy\, reduce downtime\, and respond faster to change. \nThis World of Connected AI (WCA) roundtable brings four technology leaders together. They will explore how key technologies support smarter edge systems.These include wireless power\, shared energy intelligence\, long range connectivity\, and AI driven sensing. Together\, these tools create systems that can run with greater freedom and scale.They also help build cleaner\, stronger\, and more reliable digital infrastructure. \nHow Does Wireless Power Help Edge AI Grow?\nWireless power removes many limits linked to standard batteries. Because of this\, edge devices can keep sensing without frequent battery changes. They can also work longer and deliver steady performance. This reduces service visits and lowers the cost of large device networks. \nIn addition\, wireless power supports sensors in hard to reach places. So\, teams can place devices where data matters most.This gives Edge AI systems more reach\, better uptime\, and stronger field performance. \nEdge AI and Smarter Energy Management\nDecentralized energy systems are changing how microgrids work.I nstead of relying on one main controller\, assets can share decisions. Solar panels\, storage units\, and EV chargers can adapt as conditions change. As a result\, energy networks become more flexible and more resilient. \nEdge AI adds value by helping these assets act in real time. It can track demand\, balance supply\, and support cleaner energy use. Therefore\, microgrids can respond faster while using resources more wisely. \nLong Range Connectivity Expands Edge AI Networks\nLong range\, low power wireless networks help Edge AI scale across wide areas. These networks support thousands of connected devices without heavy energy use. They also improve coverage for cities\, factories\, farms\, and remote sites. For example\, sub GHz IoT connectivity can link devices across large spaces. It gives teams reliable data without complex wiring or high power needs. As a result\, organizations can build larger and smarter edge networks. \nAI Driven Sensing Turns Data Into Action\nSmart sensing platforms help turn raw data into useful insight. They can detect changes\, spot risks\, and guide faster decisions. Because of this\, teams gain clearer visibility across daily operations. These systems also support logistics\, safety\, and industrial work. They can automate tasks\, improve alerts\, and reduce response times. Meanwhile\, real time analytics help people act before small issues grow. \nEdge AI Builds Resilient and Scalable Infrastructure\nTogether\, these technologies move Edge AI from idea to real deployment. They support systems that can adapt\, save energy\, and operate with less support. They also help industries build stronger networks for the future. Attendees will learn about new architectures and cross industry use cases. They will also see how collaboration can speed the next wave of edge innovation. With the right ecosystem\, Edge AI can power smarter\, cleaner\, and more independent systems. \n\n\n\n\n \nHow Edge AI Is Powering Smarter\, Self-Sufficient IoT Ecosystems\nEdge AI is reshaping how devices sense\, process\, and act in real time. As a result\, it unlocks new levels of intelligence\, efficiency\, and autonomy across IoT\, industrial\, and smart infrastructure environments. This WCA roundtable brings together four technology leaders\, Energous\, Heila\, Newracom\, and Sensitel with SenseAI\, to examine how wireless power\, distributed energy intelligence\, long range connectivity\, and AI driven sensing combine to create a new generation of self powered\, resilient\, and scalable edge systems. \nWireless Power Networks Eliminate Battery Limits\nEnergous leads the discussion by presenting advances in wireless power networks. These networks remove battery limitations and support continuous sensing at the edge. Consequently\, devices can operate longer\, maintain consistent performance\, and reduce the maintenance burden that traditional battery powered systems create. \nDecentralized Energy Management Reshapes Microgrids\nHeila then demonstrates how autonomous and decentralized energy management transforms microgrids and distributed energy resources. Solar\, storage\, and EV assets work together and adapt without relying on a central controller. In turn\, this approach gives Edge AI systems the flexibility to respond to changing energy conditions in real time. \nLong Range Connectivity Strengthens Edge AI Architectures\nNewracom explains how Wi Fi HaLow delivers long range\, low power connectivity. This capability proves essential for large scale IoT deployments and forms a strong foundation for robust Edge AI architectures. Moreover\, it allows organizations to connect thousands of devices across wide areas without sacrificing power efficiency. \nIntelligent Sensing Brings Context to Raw Data\nSensitel\, powered by SenseAI\, rounds out the panel by showing how intelligent sensing\, workflow automation\, and real time analytics bring contextual awareness to the edge. As a result\, raw sensor data becomes actionable insight that supports operations\, logistics\, and safety across industries. \nWhat Attendees Will Gain\nTogether\, these four perspectives show how Edge AI moves from concept to real world deployment. The result is a class of systems that adapts more readily\, operates more sustainably\, and functions independently at scale. Attendees leave with a clear view of emerging architectures\, cross industry use cases\, and the collaborative ecosystem needed to drive the next wave of intelligent edge innovation. \n\n\n\n\n \n \n\n\n\n \n \n\n\n\n \n \n\n\n\n \n \n\n\n\n About Sensors Converge\nSensors Converge is North America’s leading event for sensing\, processing\, connectivity\, power\, and edge AI innovation. \nDiscover more than 200 exhibitors and thousands of technologies across 50 product categories.\nHear directly from experts shaping the next generation of intelligent systems. \nProfessionals building IoT\, edge AI\, embedded systems\, or connected devices will find valuable insights and partners.\nThis is where breakthrough ideas move from concept to real-world deployment. \nJoin the engineering and technology community driving the future of connected innovation. URL:https://wca.org/event/the-next-iot-revolution-2/ CATEGORIES:WCA Center Stage ATTACH;FMTTYPE=image/png:https://wca.org/wp-content/uploads/Next-IoT-Revolution-2020.png END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20201021T160000 DTEND;TZID=America/Los_Angeles:20201021T170000 DTSTAMP:20260620T093438 CREATED:20200911T181555Z LAST-MODIFIED:20210517T050126Z UID:2211-1603296000-1603299600@wca.org SUMMARY:The Next IoT Revolution DESCRIPTION:Edge‑AI for the Next Generation of Connected Systems \n \n The Technologies Shaping Tomorrow’s Intelligent Edge Ecosystem \n \n \n \n \n\n\n \nEdge AI is changing how devices sense\, think\, and act in real time. Today\, it helps systems work faster\, smarter\, and with less human support. As a result\, IoT\, industrial\, and smart infrastructure networks can do more at the edge. They can also save energy\, reduce downtime\, and respond faster to change. \nThis World of Connected AI (WCA) roundtable brings four technology leaders together. They will explore how key technologies support smarter edge systems.These include wireless power\, shared energy intelligence\, long range connectivity\, and AI driven sensing. Together\, these tools create systems that can run with greater freedom and scale.They also help build cleaner\, stronger\, and more reliable digital infrastructure. \nHow Does Wireless Power Help Edge AI Grow?\nWireless power removes many limits linked to standard batteries. Because of this\, edge devices can keep sensing without frequent battery changes. They can also work longer and deliver steady performance. This reduces service visits and lowers the cost of large device networks. \nIn addition\, wireless power supports sensors in hard to reach places. So\, teams can place devices where data matters most.This gives Edge AI systems more reach\, better uptime\, and stronger field performance. \nEdge AI and Smarter Energy Management\nDecentralized energy systems are changing how microgrids work.I nstead of relying on one main controller\, assets can share decisions. Solar panels\, storage units\, and EV chargers can adapt as conditions change. As a result\, energy networks become more flexible and more resilient. \nEdge AI adds value by helping these assets act in real time. It can track demand\, balance supply\, and support cleaner energy use. Therefore\, microgrids can respond faster while using resources more wisely. \nLong Range Connectivity Expands Edge AI Networks\nLong range\, low power wireless networks help Edge AI scale across wide areas. These networks support thousands of connected devices without heavy energy use. They also improve coverage for cities\, factories\, farms\, and remote sites. For example\, sub GHz IoT connectivity can link devices across large spaces. It gives teams reliable data without complex wiring or high power needs. As a result\, organizations can build larger and smarter edge networks. \nAI Driven Sensing Turns Data Into Action\nSmart sensing platforms help turn raw data into useful insight. They can detect changes\, spot risks\, and guide faster decisions. Because of this\, teams gain clearer visibility across daily operations. These systems also support logistics\, safety\, and industrial work. They can automate tasks\, improve alerts\, and reduce response times. Meanwhile\, real time analytics help people act before small issues grow. \nEdge AI Builds Resilient and Scalable Infrastructure\nTogether\, these technologies move Edge AI from idea to real deployment. They support systems that can adapt\, save energy\, and operate with less support. They also help industries build stronger networks for the future. Attendees will learn about new architectures and cross industry use cases. They will also see how collaboration can speed the next wave of edge innovation. With the right ecosystem\, Edge AI can power smarter\, cleaner\, and more independent systems. \n\n\n\n\n \nHow Edge AI Is Powering Smarter\, Self-Sufficient IoT Ecosystems\nEdge AI is reshaping how devices sense\, process\, and act in real time. As a result\, it unlocks new levels of intelligence\, efficiency\, and autonomy across IoT\, industrial\, and smart infrastructure environments. This WCA roundtable brings together four technology leaders\, Energous\, Heila\, Newracom\, and Sensitel with SenseAI\, to examine how wireless power\, distributed energy intelligence\, long range connectivity\, and AI driven sensing combine to create a new generation of self powered\, resilient\, and scalable edge systems. \nWireless Power Networks Eliminate Battery Limits\nEnergous leads the discussion by presenting advances in wireless power networks. These networks remove battery limitations and support continuous sensing at the edge. Consequently\, devices can operate longer\, maintain consistent performance\, and reduce the maintenance burden that traditional battery powered systems create. \nDecentralized Energy Management Reshapes Microgrids\nHeila then demonstrates how autonomous and decentralized energy management transforms microgrids and distributed energy resources. Solar\, storage\, and EV assets work together and adapt without relying on a central controller. In turn\, this approach gives Edge AI systems the flexibility to respond to changing energy conditions in real time. \nLong Range Connectivity Strengthens Edge AI Architectures\nNewracom explains how Wi Fi HaLow delivers long range\, low power connectivity. This capability proves essential for large scale IoT deployments and forms a strong foundation for robust Edge AI architectures. Moreover\, it allows organizations to connect thousands of devices across wide areas without sacrificing power efficiency. \nIntelligent Sensing Brings Context to Raw Data\nSensitel\, powered by SenseAI\, rounds out the panel by showing how intelligent sensing\, workflow automation\, and real time analytics bring contextual awareness to the edge. As a result\, raw sensor data becomes actionable insight that supports operations\, logistics\, and safety across industries. \nWhat Attendees Will Gain\nTogether\, these four perspectives show how Edge AI moves from concept to real world deployment. The result is a class of systems that adapts more readily\, operates more sustainably\, and functions independently at scale. Attendees leave with a clear view of emerging architectures\, cross industry use cases\, and the collaborative ecosystem needed to drive the next wave of intelligent edge innovation. \n\n\n\n\n \n \n\n\n\n \n \n\n\n\n \n \n\n\n\n \n \n\n\n\n About Sensors Converge\nSensors Converge is North America’s leading event for sensing\, processing\, connectivity\, power\, and edge AI innovation. \nDiscover more than 200 exhibitors and thousands of technologies across 50 product categories.\nHear directly from experts shaping the next generation of intelligent systems. \nProfessionals building IoT\, edge AI\, embedded systems\, or connected devices will find valuable insights and partners.\nThis is where breakthrough ideas move from concept to real-world deployment. \nJoin the engineering and technology community driving the future of connected innovation. URL:https://wca.org/event/the-next-iot-revolution/ CATEGORIES:WCA Center Stage ATTACH;FMTTYPE=image/png:https://wca.org/wp-content/uploads/Next-IoT-Revolution-2020.png END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20201014T010000 DTEND;TZID=America/Los_Angeles:20201016T060000 DTSTAMP:20260620T093438 CREATED:20200909T201938Z LAST-MODIFIED:20200909T201938Z UID:35590-1602637200-1602828000@wca.org SUMMARY:One World Together - Cybersecurity Symposium for Smart Cities 2020 DESCRIPTION:Edge‑AI for the Next Generation of Connected Systems \n \n The Technologies Shaping Tomorrow’s Intelligent Edge Ecosystem \n \n \n \n \n\n\n \nEdge AI is changing how devices sense\, think\, and act in real time. Today\, it helps systems work faster\, smarter\, and with less human support. As a result\, IoT\, industrial\, and smart infrastructure networks can do more at the edge. They can also save energy\, reduce downtime\, and respond faster to change. \nThis World of Connected AI (WCA) roundtable brings four technology leaders together. They will explore how key technologies support smarter edge systems.These include wireless power\, shared energy intelligence\, long range connectivity\, and AI driven sensing. Together\, these tools create systems that can run with greater freedom and scale.They also help build cleaner\, stronger\, and more reliable digital infrastructure. \nHow Does Wireless Power Help Edge AI Grow?\nWireless power removes many limits linked to standard batteries. Because of this\, edge devices can keep sensing without frequent battery changes. They can also work longer and deliver steady performance. This reduces service visits and lowers the cost of large device networks. \nIn addition\, wireless power supports sensors in hard to reach places. So\, teams can place devices where data matters most.This gives Edge AI systems more reach\, better uptime\, and stronger field performance. \nEdge AI and Smarter Energy Management\nDecentralized energy systems are changing how microgrids work.I nstead of relying on one main controller\, assets can share decisions. Solar panels\, storage units\, and EV chargers can adapt as conditions change. As a result\, energy networks become more flexible and more resilient. \nEdge AI adds value by helping these assets act in real time. It can track demand\, balance supply\, and support cleaner energy use. Therefore\, microgrids can respond faster while using resources more wisely. \nLong Range Connectivity Expands Edge AI Networks\nLong range\, low power wireless networks help Edge AI scale across wide areas. These networks support thousands of connected devices without heavy energy use. They also improve coverage for cities\, factories\, farms\, and remote sites. For example\, sub GHz IoT connectivity can link devices across large spaces. It gives teams reliable data without complex wiring or high power needs. As a result\, organizations can build larger and smarter edge networks. \nAI Driven Sensing Turns Data Into Action\nSmart sensing platforms help turn raw data into useful insight. They can detect changes\, spot risks\, and guide faster decisions. Because of this\, teams gain clearer visibility across daily operations. These systems also support logistics\, safety\, and industrial work. They can automate tasks\, improve alerts\, and reduce response times. Meanwhile\, real time analytics help people act before small issues grow. \nEdge AI Builds Resilient and Scalable Infrastructure\nTogether\, these technologies move Edge AI from idea to real deployment. They support systems that can adapt\, save energy\, and operate with less support. They also help industries build stronger networks for the future. Attendees will learn about new architectures and cross industry use cases. They will also see how collaboration can speed the next wave of edge innovation. With the right ecosystem\, Edge AI can power smarter\, cleaner\, and more independent systems. \n\n\n\n\n \nHow Edge AI Is Powering Smarter\, Self-Sufficient IoT Ecosystems\nEdge AI is reshaping how devices sense\, process\, and act in real time. As a result\, it unlocks new levels of intelligence\, efficiency\, and autonomy across IoT\, industrial\, and smart infrastructure environments. This WCA roundtable brings together four technology leaders\, Energous\, Heila\, Newracom\, and Sensitel with SenseAI\, to examine how wireless power\, distributed energy intelligence\, long range connectivity\, and AI driven sensing combine to create a new generation of self powered\, resilient\, and scalable edge systems. \nWireless Power Networks Eliminate Battery Limits\nEnergous leads the discussion by presenting advances in wireless power networks. These networks remove battery limitations and support continuous sensing at the edge. Consequently\, devices can operate longer\, maintain consistent performance\, and reduce the maintenance burden that traditional battery powered systems create. \nDecentralized Energy Management Reshapes Microgrids\nHeila then demonstrates how autonomous and decentralized energy management transforms microgrids and distributed energy resources. Solar\, storage\, and EV assets work together and adapt without relying on a central controller. In turn\, this approach gives Edge AI systems the flexibility to respond to changing energy conditions in real time. \nLong Range Connectivity Strengthens Edge AI Architectures\nNewracom explains how Wi Fi HaLow delivers long range\, low power connectivity. This capability proves essential for large scale IoT deployments and forms a strong foundation for robust Edge AI architectures. Moreover\, it allows organizations to connect thousands of devices across wide areas without sacrificing power efficiency. \nIntelligent Sensing Brings Context to Raw Data\nSensitel\, powered by SenseAI\, rounds out the panel by showing how intelligent sensing\, workflow automation\, and real time analytics bring contextual awareness to the edge. As a result\, raw sensor data becomes actionable insight that supports operations\, logistics\, and safety across industries. \nWhat Attendees Will Gain\nTogether\, these four perspectives show how Edge AI moves from concept to real world deployment. The result is a class of systems that adapts more readily\, operates more sustainably\, and functions independently at scale. Attendees leave with a clear view of emerging architectures\, cross industry use cases\, and the collaborative ecosystem needed to drive the next wave of intelligent edge innovation. \n\n\n\n\n \n \n\n\n\n \n \n\n\n\n \n \n\n\n\n \n \n\n\n\n About Sensors Converge\nSensors Converge is North America’s leading event for sensing\, processing\, connectivity\, power\, and edge AI innovation. \nDiscover more than 200 exhibitors and thousands of technologies across 50 product categories.\nHear directly from experts shaping the next generation of intelligent systems. \nProfessionals building IoT\, edge AI\, embedded systems\, or connected devices will find valuable insights and partners.\nThis is where breakthrough ideas move from concept to real-world deployment. \nJoin the engineering and technology community driving the future of connected innovation. URL:https://wca.org/event/one-world-together-cybersecurity-symposium-for-smart-cities-2020-2/ CATEGORIES:Industry Events ATTACH;FMTTYPE=image/jpeg:https://wca.org/wp-content/uploads/https___cdn.evbuc_.com_images_105880696_237594438873_1_sm.jpg END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20200929T080000 DTEND;TZID=America/Los_Angeles:20201008T170000 DTSTAMP:20260620T093438 CREATED:20200216T194256Z LAST-MODIFIED:20200216T194256Z UID:35579-1601366400-1602176400@wca.org SUMMARY:Virtual Wi-Fi World Congress 2020 DESCRIPTION:Edge‑AI for the Next Generation of Connected Systems \n\n The Technologies Shaping Tomorrow’s Intelligent Edge Ecosystem \n\n\n \n \n\n\n\n \n\n\n\n\n\n\n\n\n\n\n\n\n\n \n\n\nEdge AI is changing how devices sense\, think\, and act in real time. Today\, it helps systems work faster\, smarter\, and with less human support. As a result\, IoT\, industrial\, and smart infrastructure networks can do more at the edge. They can also save energy\, reduce downtime\, and respond faster to change. \nThis World of Connected AI (WCA) roundtable brings four technology leaders together. They will explore how key technologies support smarter edge systems.These include wireless power\, shared energy intelligence\, long range connectivity\, and AI driven sensing. Together\, these tools create systems that can run with greater freedom and scale.They also help build cleaner\, stronger\, and more reliable digital infrastructure. \nHow Does Wireless Power Help Edge AI Grow?\nWireless power removes many limits linked to standard batteries. Because of this\, edge devices can keep sensing without frequent battery changes. They can also work longer and deliver steady performance. This reduces service visits and lowers the cost of large device networks. \nIn addition\, wireless power supports sensors in hard to reach places. So\, teams can place devices where data matters most.This gives Edge AI systems more reach\, better uptime\, and stronger field performance. \nEdge AI and Smarter Energy Management\nDecentralized energy systems are changing how microgrids work.I nstead of relying on one main controller\, assets can share decisions. Solar panels\, storage units\, and EV chargers can adapt as conditions change. As a result\, energy networks become more flexible and more resilient. \nEdge AI adds value by helping these assets act in real time. It can track demand\, balance supply\, and support cleaner energy use. Therefore\, microgrids can respond faster while using resources more wisely. \nLong Range Connectivity Expands Edge AI Networks\nLong range\, low power wireless networks help Edge AI scale across wide areas. These networks support thousands of connected devices without heavy energy use. They also improve coverage for cities\, factories\, farms\, and remote sites. For example\, sub GHz IoT connectivity can link devices across large spaces. It gives teams reliable data without complex wiring or high power needs. As a result\, organizations can build larger and smarter edge networks. \nAI Driven Sensing Turns Data Into Action\nSmart sensing platforms help turn raw data into useful insight. They can detect changes\, spot risks\, and guide faster decisions. Because of this\, teams gain clearer visibility across daily operations. These systems also support logistics\, safety\, and industrial work. They can automate tasks\, improve alerts\, and reduce response times. Meanwhile\, real time analytics help people act before small issues grow. \nEdge AI Builds Resilient and Scalable Infrastructure\nTogether\, these technologies move Edge AI from idea to real deployment. They support systems that can adapt\, save energy\, and operate with less support. They also help industries build stronger networks for the future. Attendees will learn about new architectures and cross industry use cases. They will also see how collaboration can speed the next wave of edge innovation. With the right ecosystem\, Edge AI can power smarter\, cleaner\, and more independent systems. \n\n\n\n\n\n\n \n\n\nHow Edge AI Is Powering Smarter\, Self-Sufficient IoT Ecosystems\nEdge AI is reshaping how devices sense\, process\, and act in real time. As a result\, it unlocks new levels of intelligence\, efficiency\, and autonomy across IoT\, industrial\, and smart infrastructure environments. This WCA roundtable brings together four technology leaders\, Energous\, Heila\, Newracom\, and Sensitel with SenseAI\, to examine how wireless power\, distributed energy intelligence\, long range connectivity\, and AI driven sensing combine to create a new generation of self powered\, resilient\, and scalable edge systems. \nWireless Power Networks Eliminate Battery Limits\nEnergous leads the discussion by presenting advances in wireless power networks. These networks remove battery limitations and support continuous sensing at the edge. Consequently\, devices can operate longer\, maintain consistent performance\, and reduce the maintenance burden that traditional battery powered systems create. \nDecentralized Energy Management Reshapes Microgrids\nHeila then demonstrates how autonomous and decentralized energy management transforms microgrids and distributed energy resources. Solar\, storage\, and EV assets work together and adapt without relying on a central controller. In turn\, this approach gives Edge AI systems the flexibility to respond to changing energy conditions in real time. \nLong Range Connectivity Strengthens Edge AI Architectures\nNewracom explains how Wi Fi HaLow delivers long range\, low power connectivity. This capability proves essential for large scale IoT deployments and forms a strong foundation for robust Edge AI architectures. Moreover\, it allows organizations to connect thousands of devices across wide areas without sacrificing power efficiency. \nIntelligent Sensing Brings Context to Raw Data\nSensitel\, powered by SenseAI\, rounds out the panel by showing how intelligent sensing\, workflow automation\, and real time analytics bring contextual awareness to the edge. As a result\, raw sensor data becomes actionable insight that supports operations\, logistics\, and safety across industries. \nWhat Attendees Will Gain\nTogether\, these four perspectives show how Edge AI moves from concept to real world deployment. The result is a class of systems that adapts more readily\, operates more sustainably\, and functions independently at scale. Attendees leave with a clear view of emerging architectures\, cross industry use cases\, and the collaborative ecosystem needed to drive the next wave of intelligent edge innovation. \n\n\n\n\n\n\n \n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n \n\n \n \n\n\n\n\n\n \n\n \n \n\n\n\n\n\n \n\n \n \n\n\n\n\n\n \n\n \n \n\n\n\n\n\n\n\n\n\n \n\nAbout Sensors Converge\nSensors Converge is North America’s leading event for sensing\, processing\, connectivity\, power\, and edge AI innovation. \nDiscover more than 200 exhibitors and thousands of technologies across 50 product categories.\nHear directly from experts shaping the next generation of intelligent systems. \nProfessionals building IoT\, edge AI\, embedded systems\, or connected devices will find valuable insights and partners.\nThis is where breakthrough ideas move from concept to real-world deployment. \nJoin the engineering and technology community driving the future of connected innovation. URL:https://wca.org/event/wi-fi-world-congress-usa-2/ LOCATION:Pullman San Francisco Bay Hotel\, 223 Twin Dolphin Dr\, Redwood City\, CA\, 94065\, United States CATEGORIES:Partner Events ORGANIZER;CN="WiFi Now":MAILTO:charlotte@wifinowevents.com END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20200924T160000 DTEND;TZID=America/Los_Angeles:20200924T170000 DTSTAMP:20260620T093438 CREATED:20200830T213258Z LAST-MODIFIED:20210517T050847Z UID:2175-1600963200-1600966800@wca.org SUMMARY:Gizmos & Gadgets 2020 DESCRIPTION:Edge‑AI for the Next Generation of Connected Systems \n \n The Technologies Shaping Tomorrow’s Intelligent Edge Ecosystem \n \n \n \n \n\n\n \nEdge AI is changing how devices sense\, think\, and act in real time. Today\, it helps systems work faster\, smarter\, and with less human support. As a result\, IoT\, industrial\, and smart infrastructure networks can do more at the edge. They can also save energy\, reduce downtime\, and respond faster to change. \nThis World of Connected AI (WCA) roundtable brings four technology leaders together. They will explore how key technologies support smarter edge systems.These include wireless power\, shared energy intelligence\, long range connectivity\, and AI driven sensing. Together\, these tools create systems that can run with greater freedom and scale.They also help build cleaner\, stronger\, and more reliable digital infrastructure. \nHow Does Wireless Power Help Edge AI Grow?\nWireless power removes many limits linked to standard batteries. Because of this\, edge devices can keep sensing without frequent battery changes. They can also work longer and deliver steady performance. This reduces service visits and lowers the cost of large device networks. \nIn addition\, wireless power supports sensors in hard to reach places. So\, teams can place devices where data matters most.This gives Edge AI systems more reach\, better uptime\, and stronger field performance. \nEdge AI and Smarter Energy Management\nDecentralized energy systems are changing how microgrids work.I nstead of relying on one main controller\, assets can share decisions. Solar panels\, storage units\, and EV chargers can adapt as conditions change. As a result\, energy networks become more flexible and more resilient. \nEdge AI adds value by helping these assets act in real time. It can track demand\, balance supply\, and support cleaner energy use. Therefore\, microgrids can respond faster while using resources more wisely. \nLong Range Connectivity Expands Edge AI Networks\nLong range\, low power wireless networks help Edge AI scale across wide areas. These networks support thousands of connected devices without heavy energy use. They also improve coverage for cities\, factories\, farms\, and remote sites. For example\, sub GHz IoT connectivity can link devices across large spaces. It gives teams reliable data without complex wiring or high power needs. As a result\, organizations can build larger and smarter edge networks. \nAI Driven Sensing Turns Data Into Action\nSmart sensing platforms help turn raw data into useful insight. They can detect changes\, spot risks\, and guide faster decisions. Because of this\, teams gain clearer visibility across daily operations. These systems also support logistics\, safety\, and industrial work. They can automate tasks\, improve alerts\, and reduce response times. Meanwhile\, real time analytics help people act before small issues grow. \nEdge AI Builds Resilient and Scalable Infrastructure\nTogether\, these technologies move Edge AI from idea to real deployment. They support systems that can adapt\, save energy\, and operate with less support. They also help industries build stronger networks for the future. Attendees will learn about new architectures and cross industry use cases. They will also see how collaboration can speed the next wave of edge innovation. With the right ecosystem\, Edge AI can power smarter\, cleaner\, and more independent systems. \n\n\n\n\n \nHow Edge AI Is Powering Smarter\, Self-Sufficient IoT Ecosystems\nEdge AI is reshaping how devices sense\, process\, and act in real time. As a result\, it unlocks new levels of intelligence\, efficiency\, and autonomy across IoT\, industrial\, and smart infrastructure environments. This WCA roundtable brings together four technology leaders\, Energous\, Heila\, Newracom\, and Sensitel with SenseAI\, to examine how wireless power\, distributed energy intelligence\, long range connectivity\, and AI driven sensing combine to create a new generation of self powered\, resilient\, and scalable edge systems. \nWireless Power Networks Eliminate Battery Limits\nEnergous leads the discussion by presenting advances in wireless power networks. These networks remove battery limitations and support continuous sensing at the edge. Consequently\, devices can operate longer\, maintain consistent performance\, and reduce the maintenance burden that traditional battery powered systems create. \nDecentralized Energy Management Reshapes Microgrids\nHeila then demonstrates how autonomous and decentralized energy management transforms microgrids and distributed energy resources. Solar\, storage\, and EV assets work together and adapt without relying on a central controller. In turn\, this approach gives Edge AI systems the flexibility to respond to changing energy conditions in real time. \nLong Range Connectivity Strengthens Edge AI Architectures\nNewracom explains how Wi Fi HaLow delivers long range\, low power connectivity. This capability proves essential for large scale IoT deployments and forms a strong foundation for robust Edge AI architectures. Moreover\, it allows organizations to connect thousands of devices across wide areas without sacrificing power efficiency. \nIntelligent Sensing Brings Context to Raw Data\nSensitel\, powered by SenseAI\, rounds out the panel by showing how intelligent sensing\, workflow automation\, and real time analytics bring contextual awareness to the edge. As a result\, raw sensor data becomes actionable insight that supports operations\, logistics\, and safety across industries. \nWhat Attendees Will Gain\nTogether\, these four perspectives show how Edge AI moves from concept to real world deployment. The result is a class of systems that adapts more readily\, operates more sustainably\, and functions independently at scale. Attendees leave with a clear view of emerging architectures\, cross industry use cases\, and the collaborative ecosystem needed to drive the next wave of intelligent edge innovation. \n\n\n\n\n \n \n\n\n\n \n \n\n\n\n \n \n\n\n\n \n \n\n\n\n About Sensors Converge\nSensors Converge is North America’s leading event for sensing\, processing\, connectivity\, power\, and edge AI innovation. \nDiscover more than 200 exhibitors and thousands of technologies across 50 product categories.\nHear directly from experts shaping the next generation of intelligent systems. \nProfessionals building IoT\, edge AI\, embedded systems\, or connected devices will find valuable insights and partners.\nThis is where breakthrough ideas move from concept to real-world deployment. \nJoin the engineering and technology community driving the future of connected innovation. URL:https://wca.org/event/gizmos-gadgets-2020/ CATEGORIES:WCA Center Stage ATTACH;FMTTYPE=image/png:https://wca.org/wp-content/uploads/SensorWorks.png END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20200917T083000 DTEND;TZID=America/Los_Angeles:20200917T110000 DTSTAMP:20260620T093438 CREATED:20200811T171705Z LAST-MODIFIED:20200811T171925Z UID:2170-1600331400-1600340400@wca.org SUMMARY:IoT Forum on Logistics 4.0 - Powered by IoT DESCRIPTION:Edge‑AI for the Next Generation of Connected Systems \n \n The Technologies Shaping Tomorrow’s Intelligent Edge Ecosystem \n \n \n \n \n\n\n \nEdge AI is changing how devices sense\, think\, and act in real time. Today\, it helps systems work faster\, smarter\, and with less human support. As a result\, IoT\, industrial\, and smart infrastructure networks can do more at the edge. They can also save energy\, reduce downtime\, and respond faster to change. \nThis World of Connected AI (WCA) roundtable brings four technology leaders together. They will explore how key technologies support smarter edge systems.These include wireless power\, shared energy intelligence\, long range connectivity\, and AI driven sensing. Together\, these tools create systems that can run with greater freedom and scale.They also help build cleaner\, stronger\, and more reliable digital infrastructure. \nHow Does Wireless Power Help Edge AI Grow?\nWireless power removes many limits linked to standard batteries. Because of this\, edge devices can keep sensing without frequent battery changes. They can also work longer and deliver steady performance. This reduces service visits and lowers the cost of large device networks. \nIn addition\, wireless power supports sensors in hard to reach places. So\, teams can place devices where data matters most.This gives Edge AI systems more reach\, better uptime\, and stronger field performance. \nEdge AI and Smarter Energy Management\nDecentralized energy systems are changing how microgrids work.I nstead of relying on one main controller\, assets can share decisions. Solar panels\, storage units\, and EV chargers can adapt as conditions change. As a result\, energy networks become more flexible and more resilient. \nEdge AI adds value by helping these assets act in real time. It can track demand\, balance supply\, and support cleaner energy use. Therefore\, microgrids can respond faster while using resources more wisely. \nLong Range Connectivity Expands Edge AI Networks\nLong range\, low power wireless networks help Edge AI scale across wide areas. These networks support thousands of connected devices without heavy energy use. They also improve coverage for cities\, factories\, farms\, and remote sites. For example\, sub GHz IoT connectivity can link devices across large spaces. It gives teams reliable data without complex wiring or high power needs. As a result\, organizations can build larger and smarter edge networks. \nAI Driven Sensing Turns Data Into Action\nSmart sensing platforms help turn raw data into useful insight. They can detect changes\, spot risks\, and guide faster decisions. Because of this\, teams gain clearer visibility across daily operations. These systems also support logistics\, safety\, and industrial work. They can automate tasks\, improve alerts\, and reduce response times. Meanwhile\, real time analytics help people act before small issues grow. \nEdge AI Builds Resilient and Scalable Infrastructure\nTogether\, these technologies move Edge AI from idea to real deployment. They support systems that can adapt\, save energy\, and operate with less support. They also help industries build stronger networks for the future. Attendees will learn about new architectures and cross industry use cases. They will also see how collaboration can speed the next wave of edge innovation. With the right ecosystem\, Edge AI can power smarter\, cleaner\, and more independent systems. \n\n\n\n\n \nHow Edge AI Is Powering Smarter\, Self-Sufficient IoT Ecosystems\nEdge AI is reshaping how devices sense\, process\, and act in real time. As a result\, it unlocks new levels of intelligence\, efficiency\, and autonomy across IoT\, industrial\, and smart infrastructure environments. This WCA roundtable brings together four technology leaders\, Energous\, Heila\, Newracom\, and Sensitel with SenseAI\, to examine how wireless power\, distributed energy intelligence\, long range connectivity\, and AI driven sensing combine to create a new generation of self powered\, resilient\, and scalable edge systems. \nWireless Power Networks Eliminate Battery Limits\nEnergous leads the discussion by presenting advances in wireless power networks. These networks remove battery limitations and support continuous sensing at the edge. Consequently\, devices can operate longer\, maintain consistent performance\, and reduce the maintenance burden that traditional battery powered systems create. \nDecentralized Energy Management Reshapes Microgrids\nHeila then demonstrates how autonomous and decentralized energy management transforms microgrids and distributed energy resources. Solar\, storage\, and EV assets work together and adapt without relying on a central controller. In turn\, this approach gives Edge AI systems the flexibility to respond to changing energy conditions in real time. \nLong Range Connectivity Strengthens Edge AI Architectures\nNewracom explains how Wi Fi HaLow delivers long range\, low power connectivity. This capability proves essential for large scale IoT deployments and forms a strong foundation for robust Edge AI architectures. Moreover\, it allows organizations to connect thousands of devices across wide areas without sacrificing power efficiency. \nIntelligent Sensing Brings Context to Raw Data\nSensitel\, powered by SenseAI\, rounds out the panel by showing how intelligent sensing\, workflow automation\, and real time analytics bring contextual awareness to the edge. As a result\, raw sensor data becomes actionable insight that supports operations\, logistics\, and safety across industries. \nWhat Attendees Will Gain\nTogether\, these four perspectives show how Edge AI moves from concept to real world deployment. The result is a class of systems that adapts more readily\, operates more sustainably\, and functions independently at scale. Attendees leave with a clear view of emerging architectures\, cross industry use cases\, and the collaborative ecosystem needed to drive the next wave of intelligent edge innovation. \n\n\n\n\n \n \n\n\n\n \n \n\n\n\n \n \n\n\n\n \n \n\n\n\n About Sensors Converge\nSensors Converge is North America’s leading event for sensing\, processing\, connectivity\, power\, and edge AI innovation. \nDiscover more than 200 exhibitors and thousands of technologies across 50 product categories.\nHear directly from experts shaping the next generation of intelligent systems. \nProfessionals building IoT\, edge AI\, embedded systems\, or connected devices will find valuable insights and partners.\nThis is where breakthrough ideas move from concept to real-world deployment. \nJoin the engineering and technology community driving the future of connected innovation. URL:https://wca.org/event/iot-forum-on-logistics-4-0-powered-by-iot/ CATEGORIES:Partner Events END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20200723T130000 DTEND;TZID=America/Los_Angeles:20200723T140000 DTSTAMP:20260620T093438 CREATED:20200629T172843Z LAST-MODIFIED:20210517T214746Z UID:2140-1595509200-1595512800@wca.org SUMMARY:5G is Overhyped - Learn what it can really do! DESCRIPTION:Edge‑AI for the Next Generation of Connected Systems \n \n The Technologies Shaping Tomorrow’s Intelligent Edge Ecosystem \n \n \n \n \n\n\n \nEdge AI is changing how devices sense\, think\, and act in real time. Today\, it helps systems work faster\, smarter\, and with less human support. As a result\, IoT\, industrial\, and smart infrastructure networks can do more at the edge. They can also save energy\, reduce downtime\, and respond faster to change. \nThis World of Connected AI (WCA) roundtable brings four technology leaders together. They will explore how key technologies support smarter edge systems.These include wireless power\, shared energy intelligence\, long range connectivity\, and AI driven sensing. Together\, these tools create systems that can run with greater freedom and scale.They also help build cleaner\, stronger\, and more reliable digital infrastructure. \nHow Does Wireless Power Help Edge AI Grow?\nWireless power removes many limits linked to standard batteries. Because of this\, edge devices can keep sensing without frequent battery changes. They can also work longer and deliver steady performance. This reduces service visits and lowers the cost of large device networks. \nIn addition\, wireless power supports sensors in hard to reach places. So\, teams can place devices where data matters most.This gives Edge AI systems more reach\, better uptime\, and stronger field performance. \nEdge AI and Smarter Energy Management\nDecentralized energy systems are changing how microgrids work.I nstead of relying on one main controller\, assets can share decisions. Solar panels\, storage units\, and EV chargers can adapt as conditions change. As a result\, energy networks become more flexible and more resilient. \nEdge AI adds value by helping these assets act in real time. It can track demand\, balance supply\, and support cleaner energy use. Therefore\, microgrids can respond faster while using resources more wisely. \nLong Range Connectivity Expands Edge AI Networks\nLong range\, low power wireless networks help Edge AI scale across wide areas. These networks support thousands of connected devices without heavy energy use. They also improve coverage for cities\, factories\, farms\, and remote sites. For example\, sub GHz IoT connectivity can link devices across large spaces. It gives teams reliable data without complex wiring or high power needs. As a result\, organizations can build larger and smarter edge networks. \nAI Driven Sensing Turns Data Into Action\nSmart sensing platforms help turn raw data into useful insight. They can detect changes\, spot risks\, and guide faster decisions. Because of this\, teams gain clearer visibility across daily operations. These systems also support logistics\, safety\, and industrial work. They can automate tasks\, improve alerts\, and reduce response times. Meanwhile\, real time analytics help people act before small issues grow. \nEdge AI Builds Resilient and Scalable Infrastructure\nTogether\, these technologies move Edge AI from idea to real deployment. They support systems that can adapt\, save energy\, and operate with less support. They also help industries build stronger networks for the future. Attendees will learn about new architectures and cross industry use cases. They will also see how collaboration can speed the next wave of edge innovation. With the right ecosystem\, Edge AI can power smarter\, cleaner\, and more independent systems. \n\n\n\n\n \nHow Edge AI Is Powering Smarter\, Self-Sufficient IoT Ecosystems\nEdge AI is reshaping how devices sense\, process\, and act in real time. As a result\, it unlocks new levels of intelligence\, efficiency\, and autonomy across IoT\, industrial\, and smart infrastructure environments. This WCA roundtable brings together four technology leaders\, Energous\, Heila\, Newracom\, and Sensitel with SenseAI\, to examine how wireless power\, distributed energy intelligence\, long range connectivity\, and AI driven sensing combine to create a new generation of self powered\, resilient\, and scalable edge systems. \nWireless Power Networks Eliminate Battery Limits\nEnergous leads the discussion by presenting advances in wireless power networks. These networks remove battery limitations and support continuous sensing at the edge. Consequently\, devices can operate longer\, maintain consistent performance\, and reduce the maintenance burden that traditional battery powered systems create. \nDecentralized Energy Management Reshapes Microgrids\nHeila then demonstrates how autonomous and decentralized energy management transforms microgrids and distributed energy resources. Solar\, storage\, and EV assets work together and adapt without relying on a central controller. In turn\, this approach gives Edge AI systems the flexibility to respond to changing energy conditions in real time. \nLong Range Connectivity Strengthens Edge AI Architectures\nNewracom explains how Wi Fi HaLow delivers long range\, low power connectivity. This capability proves essential for large scale IoT deployments and forms a strong foundation for robust Edge AI architectures. Moreover\, it allows organizations to connect thousands of devices across wide areas without sacrificing power efficiency. \nIntelligent Sensing Brings Context to Raw Data\nSensitel\, powered by SenseAI\, rounds out the panel by showing how intelligent sensing\, workflow automation\, and real time analytics bring contextual awareness to the edge. As a result\, raw sensor data becomes actionable insight that supports operations\, logistics\, and safety across industries. \nWhat Attendees Will Gain\nTogether\, these four perspectives show how Edge AI moves from concept to real world deployment. The result is a class of systems that adapts more readily\, operates more sustainably\, and functions independently at scale. Attendees leave with a clear view of emerging architectures\, cross industry use cases\, and the collaborative ecosystem needed to drive the next wave of intelligent edge innovation. \n\n\n\n\n \n \n\n\n\n \n \n\n\n\n \n \n\n\n\n \n \n\n\n\n About Sensors Converge\nSensors Converge is North America’s leading event for sensing\, processing\, connectivity\, power\, and edge AI innovation. \nDiscover more than 200 exhibitors and thousands of technologies across 50 product categories.\nHear directly from experts shaping the next generation of intelligent systems. \nProfessionals building IoT\, edge AI\, embedded systems\, or connected devices will find valuable insights and partners.\nThis is where breakthrough ideas move from concept to real-world deployment. \nJoin the engineering and technology community driving the future of connected innovation. URL:https://wca.org/event/5g-is-overhyped-learn-what-it-can-really-do/ CATEGORIES:WCA Center Stage ATTACH;FMTTYPE=image/jpeg:https://wca.org/wp-content/uploads/WCA-Voler-logo-e1593451554393.jpg END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20200715T013000 DTEND;TZID=America/Los_Angeles:20200716T100000 DTSTAMP:20260620T093438 CREATED:20200714T183647Z LAST-MODIFIED:20200714T183739Z UID:2155-1594776600-1594893600@wca.org SUMMARY:TC3 - Innovation IntordUKtions DESCRIPTION:Edge‑AI for the Next Generation of Connected Systems \n \n The Technologies Shaping Tomorrow’s Intelligent Edge Ecosystem \n \n \n \n \n\n\n \nEdge AI is changing how devices sense\, think\, and act in real time. Today\, it helps systems work faster\, smarter\, and with less human support. As a result\, IoT\, industrial\, and smart infrastructure networks can do more at the edge. They can also save energy\, reduce downtime\, and respond faster to change. \nThis World of Connected AI (WCA) roundtable brings four technology leaders together. They will explore how key technologies support smarter edge systems.These include wireless power\, shared energy intelligence\, long range connectivity\, and AI driven sensing. Together\, these tools create systems that can run with greater freedom and scale.They also help build cleaner\, stronger\, and more reliable digital infrastructure. \nHow Does Wireless Power Help Edge AI Grow?\nWireless power removes many limits linked to standard batteries. Because of this\, edge devices can keep sensing without frequent battery changes. They can also work longer and deliver steady performance. This reduces service visits and lowers the cost of large device networks. \nIn addition\, wireless power supports sensors in hard to reach places. So\, teams can place devices where data matters most.This gives Edge AI systems more reach\, better uptime\, and stronger field performance. \nEdge AI and Smarter Energy Management\nDecentralized energy systems are changing how microgrids work.I nstead of relying on one main controller\, assets can share decisions. Solar panels\, storage units\, and EV chargers can adapt as conditions change. As a result\, energy networks become more flexible and more resilient. \nEdge AI adds value by helping these assets act in real time. It can track demand\, balance supply\, and support cleaner energy use. Therefore\, microgrids can respond faster while using resources more wisely. \nLong Range Connectivity Expands Edge AI Networks\nLong range\, low power wireless networks help Edge AI scale across wide areas. These networks support thousands of connected devices without heavy energy use. They also improve coverage for cities\, factories\, farms\, and remote sites. For example\, sub GHz IoT connectivity can link devices across large spaces. It gives teams reliable data without complex wiring or high power needs. As a result\, organizations can build larger and smarter edge networks. \nAI Driven Sensing Turns Data Into Action\nSmart sensing platforms help turn raw data into useful insight. They can detect changes\, spot risks\, and guide faster decisions. Because of this\, teams gain clearer visibility across daily operations. These systems also support logistics\, safety\, and industrial work. They can automate tasks\, improve alerts\, and reduce response times. Meanwhile\, real time analytics help people act before small issues grow. \nEdge AI Builds Resilient and Scalable Infrastructure\nTogether\, these technologies move Edge AI from idea to real deployment. They support systems that can adapt\, save energy\, and operate with less support. They also help industries build stronger networks for the future. Attendees will learn about new architectures and cross industry use cases. They will also see how collaboration can speed the next wave of edge innovation. With the right ecosystem\, Edge AI can power smarter\, cleaner\, and more independent systems. \n\n\n\n\n \nHow Edge AI Is Powering Smarter\, Self-Sufficient IoT Ecosystems\nEdge AI is reshaping how devices sense\, process\, and act in real time. As a result\, it unlocks new levels of intelligence\, efficiency\, and autonomy across IoT\, industrial\, and smart infrastructure environments. This WCA roundtable brings together four technology leaders\, Energous\, Heila\, Newracom\, and Sensitel with SenseAI\, to examine how wireless power\, distributed energy intelligence\, long range connectivity\, and AI driven sensing combine to create a new generation of self powered\, resilient\, and scalable edge systems. \nWireless Power Networks Eliminate Battery Limits\nEnergous leads the discussion by presenting advances in wireless power networks. These networks remove battery limitations and support continuous sensing at the edge. Consequently\, devices can operate longer\, maintain consistent performance\, and reduce the maintenance burden that traditional battery powered systems create. \nDecentralized Energy Management Reshapes Microgrids\nHeila then demonstrates how autonomous and decentralized energy management transforms microgrids and distributed energy resources. Solar\, storage\, and EV assets work together and adapt without relying on a central controller. In turn\, this approach gives Edge AI systems the flexibility to respond to changing energy conditions in real time. \nLong Range Connectivity Strengthens Edge AI Architectures\nNewracom explains how Wi Fi HaLow delivers long range\, low power connectivity. This capability proves essential for large scale IoT deployments and forms a strong foundation for robust Edge AI architectures. Moreover\, it allows organizations to connect thousands of devices across wide areas without sacrificing power efficiency. \nIntelligent Sensing Brings Context to Raw Data\nSensitel\, powered by SenseAI\, rounds out the panel by showing how intelligent sensing\, workflow automation\, and real time analytics bring contextual awareness to the edge. As a result\, raw sensor data becomes actionable insight that supports operations\, logistics\, and safety across industries. \nWhat Attendees Will Gain\nTogether\, these four perspectives show how Edge AI moves from concept to real world deployment. The result is a class of systems that adapts more readily\, operates more sustainably\, and functions independently at scale. Attendees leave with a clear view of emerging architectures\, cross industry use cases\, and the collaborative ecosystem needed to drive the next wave of intelligent edge innovation. \n\n\n\n\n \n \n\n\n\n \n \n\n\n\n \n \n\n\n\n \n \n\n\n\n About Sensors Converge\nSensors Converge is North America’s leading event for sensing\, processing\, connectivity\, power\, and edge AI innovation. \nDiscover more than 200 exhibitors and thousands of technologies across 50 product categories.\nHear directly from experts shaping the next generation of intelligent systems. \nProfessionals building IoT\, edge AI\, embedded systems\, or connected devices will find valuable insights and partners.\nThis is where breakthrough ideas move from concept to real-world deployment. \nJoin the engineering and technology community driving the future of connected innovation. URL:https://wca.org/event/innovation-intorduktions/ CATEGORIES:Partner Events END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20200625T160000 DTEND;TZID=America/Los_Angeles:20200625T170000 DTSTAMP:20260620T093438 CREATED:20200522T220737Z LAST-MODIFIED:20210518T204813Z UID:2095-1593100800-1593104400@wca.org SUMMARY:Webinar - Terahertz Technology - The Next 6G DESCRIPTION:Edge‑AI for the Next Generation of Connected Systems \n \n The Technologies Shaping Tomorrow’s Intelligent Edge Ecosystem \n \n \n \n \n\n\n \nEdge AI is changing how devices sense\, think\, and act in real time. Today\, it helps systems work faster\, smarter\, and with less human support. As a result\, IoT\, industrial\, and smart infrastructure networks can do more at the edge. They can also save energy\, reduce downtime\, and respond faster to change. \nThis World of Connected AI (WCA) roundtable brings four technology leaders together. They will explore how key technologies support smarter edge systems.These include wireless power\, shared energy intelligence\, long range connectivity\, and AI driven sensing. Together\, these tools create systems that can run with greater freedom and scale.They also help build cleaner\, stronger\, and more reliable digital infrastructure. \nHow Does Wireless Power Help Edge AI Grow?\nWireless power removes many limits linked to standard batteries. Because of this\, edge devices can keep sensing without frequent battery changes. They can also work longer and deliver steady performance. This reduces service visits and lowers the cost of large device networks. \nIn addition\, wireless power supports sensors in hard to reach places. So\, teams can place devices where data matters most.This gives Edge AI systems more reach\, better uptime\, and stronger field performance. \nEdge AI and Smarter Energy Management\nDecentralized energy systems are changing how microgrids work.I nstead of relying on one main controller\, assets can share decisions. Solar panels\, storage units\, and EV chargers can adapt as conditions change. As a result\, energy networks become more flexible and more resilient. \nEdge AI adds value by helping these assets act in real time. It can track demand\, balance supply\, and support cleaner energy use. Therefore\, microgrids can respond faster while using resources more wisely. \nLong Range Connectivity Expands Edge AI Networks\nLong range\, low power wireless networks help Edge AI scale across wide areas. These networks support thousands of connected devices without heavy energy use. They also improve coverage for cities\, factories\, farms\, and remote sites. For example\, sub GHz IoT connectivity can link devices across large spaces. It gives teams reliable data without complex wiring or high power needs. As a result\, organizations can build larger and smarter edge networks. \nAI Driven Sensing Turns Data Into Action\nSmart sensing platforms help turn raw data into useful insight. They can detect changes\, spot risks\, and guide faster decisions. Because of this\, teams gain clearer visibility across daily operations. These systems also support logistics\, safety\, and industrial work. They can automate tasks\, improve alerts\, and reduce response times. Meanwhile\, real time analytics help people act before small issues grow. \nEdge AI Builds Resilient and Scalable Infrastructure\nTogether\, these technologies move Edge AI from idea to real deployment. They support systems that can adapt\, save energy\, and operate with less support. They also help industries build stronger networks for the future. Attendees will learn about new architectures and cross industry use cases. They will also see how collaboration can speed the next wave of edge innovation. With the right ecosystem\, Edge AI can power smarter\, cleaner\, and more independent systems. \n\n\n\n\n \nHow Edge AI Is Powering Smarter\, Self-Sufficient IoT Ecosystems\nEdge AI is reshaping how devices sense\, process\, and act in real time. As a result\, it unlocks new levels of intelligence\, efficiency\, and autonomy across IoT\, industrial\, and smart infrastructure environments. This WCA roundtable brings together four technology leaders\, Energous\, Heila\, Newracom\, and Sensitel with SenseAI\, to examine how wireless power\, distributed energy intelligence\, long range connectivity\, and AI driven sensing combine to create a new generation of self powered\, resilient\, and scalable edge systems. \nWireless Power Networks Eliminate Battery Limits\nEnergous leads the discussion by presenting advances in wireless power networks. These networks remove battery limitations and support continuous sensing at the edge. Consequently\, devices can operate longer\, maintain consistent performance\, and reduce the maintenance burden that traditional battery powered systems create. \nDecentralized Energy Management Reshapes Microgrids\nHeila then demonstrates how autonomous and decentralized energy management transforms microgrids and distributed energy resources. Solar\, storage\, and EV assets work together and adapt without relying on a central controller. In turn\, this approach gives Edge AI systems the flexibility to respond to changing energy conditions in real time. \nLong Range Connectivity Strengthens Edge AI Architectures\nNewracom explains how Wi Fi HaLow delivers long range\, low power connectivity. This capability proves essential for large scale IoT deployments and forms a strong foundation for robust Edge AI architectures. Moreover\, it allows organizations to connect thousands of devices across wide areas without sacrificing power efficiency. \nIntelligent Sensing Brings Context to Raw Data\nSensitel\, powered by SenseAI\, rounds out the panel by showing how intelligent sensing\, workflow automation\, and real time analytics bring contextual awareness to the edge. As a result\, raw sensor data becomes actionable insight that supports operations\, logistics\, and safety across industries. \nWhat Attendees Will Gain\nTogether\, these four perspectives show how Edge AI moves from concept to real world deployment. The result is a class of systems that adapts more readily\, operates more sustainably\, and functions independently at scale. Attendees leave with a clear view of emerging architectures\, cross industry use cases\, and the collaborative ecosystem needed to drive the next wave of intelligent edge innovation. \n\n\n\n\n \n \n\n\n\n \n \n\n\n\n \n \n\n\n\n \n \n\n\n\n About Sensors Converge\nSensors Converge is North America’s leading event for sensing\, processing\, connectivity\, power\, and edge AI innovation. \nDiscover more than 200 exhibitors and thousands of technologies across 50 product categories.\nHear directly from experts shaping the next generation of intelligent systems. \nProfessionals building IoT\, edge AI\, embedded systems\, or connected devices will find valuable insights and partners.\nThis is where breakthrough ideas move from concept to real-world deployment. \nJoin the engineering and technology community driving the future of connected innovation. URL:https://wca.org/event/webinar-terahertz-technology-the-next-6g/ CATEGORIES:WCA Center Stage ATTACH;FMTTYPE=image/png:https://wca.org/wp-content/uploads/unnamed-2.png END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20200623T083000 DTEND;TZID=America/Los_Angeles:20200623T123000 DTSTAMP:20260620T093438 CREATED:20200505T144354Z LAST-MODIFIED:20200619T013140Z UID:2084-1592901000-1592915400@wca.org SUMMARY:GETTING AROUND SMART CITIES 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/getting-around-smart-cities/ LOCATION:McEnery Convention Center\, 150 W. San Carlos Street\, San Jose\, California\, 95113\, United States CATEGORIES:Partner Events END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20200527T020000 DTEND;TZID=America/Los_Angeles:20200527T020000 DTSTAMP:20260620T093438 CREATED:20200520T173005Z LAST-MODIFIED:20200520T173053Z UID:2099-1590544800-1590544800@wca.org SUMMARY:Energous Webinar: Watt Up PowerHub 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/energous-webinar-watt-up-powerhub/ CATEGORIES:Partner Events END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20200521T013000 DTEND;TZID=America/Los_Angeles:20200521T053000 DTSTAMP:20260620T093438 CREATED:20200425T161505Z LAST-MODIFIED:20200425T161506Z UID:2070-1590024600-1590039000@wca.org SUMMARY:Telecom Council Innovation Showcase 2020 DESCRIPTION:Edge‑AI for the Next Generation of Connected Systems \n \n The Technologies Shaping Tomorrow’s Intelligent Edge Ecosystem \n \n \n \n \n\n\n \nEdge AI is changing how devices sense\, think\, and act in real time. Today\, it helps systems work faster\, smarter\, and with less human support. As a result\, IoT\, industrial\, and smart infrastructure networks can do more at the edge. They can also save energy\, reduce downtime\, and respond faster to change. \nThis World of Connected AI (WCA) roundtable brings four technology leaders together. They will explore how key technologies support smarter edge systems.These include wireless power\, shared energy intelligence\, long range connectivity\, and AI driven sensing. Together\, these tools create systems that can run with greater freedom and scale.They also help build cleaner\, stronger\, and more reliable digital infrastructure. \nHow Does Wireless Power Help Edge AI Grow?\nWireless power removes many limits linked to standard batteries. Because of this\, edge devices can keep sensing without frequent battery changes. They can also work longer and deliver steady performance. This reduces service visits and lowers the cost of large device networks. \nIn addition\, wireless power supports sensors in hard to reach places. So\, teams can place devices where data matters most.This gives Edge AI systems more reach\, better uptime\, and stronger field performance. \nEdge AI and Smarter Energy Management\nDecentralized energy systems are changing how microgrids work.I nstead of relying on one main controller\, assets can share decisions. Solar panels\, storage units\, and EV chargers can adapt as conditions change. As a result\, energy networks become more flexible and more resilient. \nEdge AI adds value by helping these assets act in real time. It can track demand\, balance supply\, and support cleaner energy use. Therefore\, microgrids can respond faster while using resources more wisely. \nLong Range Connectivity Expands Edge AI Networks\nLong range\, low power wireless networks help Edge AI scale across wide areas. These networks support thousands of connected devices without heavy energy use. They also improve coverage for cities\, factories\, farms\, and remote sites. For example\, sub GHz IoT connectivity can link devices across large spaces. It gives teams reliable data without complex wiring or high power needs. As a result\, organizations can build larger and smarter edge networks. \nAI Driven Sensing Turns Data Into Action\nSmart sensing platforms help turn raw data into useful insight. They can detect changes\, spot risks\, and guide faster decisions. Because of this\, teams gain clearer visibility across daily operations. These systems also support logistics\, safety\, and industrial work. They can automate tasks\, improve alerts\, and reduce response times. Meanwhile\, real time analytics help people act before small issues grow. \nEdge AI Builds Resilient and Scalable Infrastructure\nTogether\, these technologies move Edge AI from idea to real deployment. They support systems that can adapt\, save energy\, and operate with less support. They also help industries build stronger networks for the future. Attendees will learn about new architectures and cross industry use cases. They will also see how collaboration can speed the next wave of edge innovation. With the right ecosystem\, Edge AI can power smarter\, cleaner\, and more independent systems. \n\n\n\n\n \nHow Edge AI Is Powering Smarter\, Self-Sufficient IoT Ecosystems\nEdge AI is reshaping how devices sense\, process\, and act in real time. As a result\, it unlocks new levels of intelligence\, efficiency\, and autonomy across IoT\, industrial\, and smart infrastructure environments. This WCA roundtable brings together four technology leaders\, Energous\, Heila\, Newracom\, and Sensitel with SenseAI\, to examine how wireless power\, distributed energy intelligence\, long range connectivity\, and AI driven sensing combine to create a new generation of self powered\, resilient\, and scalable edge systems. \nWireless Power Networks Eliminate Battery Limits\nEnergous leads the discussion by presenting advances in wireless power networks. These networks remove battery limitations and support continuous sensing at the edge. Consequently\, devices can operate longer\, maintain consistent performance\, and reduce the maintenance burden that traditional battery powered systems create. \nDecentralized Energy Management Reshapes Microgrids\nHeila then demonstrates how autonomous and decentralized energy management transforms microgrids and distributed energy resources. Solar\, storage\, and EV assets work together and adapt without relying on a central controller. In turn\, this approach gives Edge AI systems the flexibility to respond to changing energy conditions in real time. \nLong Range Connectivity Strengthens Edge AI Architectures\nNewracom explains how Wi Fi HaLow delivers long range\, low power connectivity. This capability proves essential for large scale IoT deployments and forms a strong foundation for robust Edge AI architectures. Moreover\, it allows organizations to connect thousands of devices across wide areas without sacrificing power efficiency. \nIntelligent Sensing Brings Context to Raw Data\nSensitel\, powered by SenseAI\, rounds out the panel by showing how intelligent sensing\, workflow automation\, and real time analytics bring contextual awareness to the edge. As a result\, raw sensor data becomes actionable insight that supports operations\, logistics\, and safety across industries. \nWhat Attendees Will Gain\nTogether\, these four perspectives show how Edge AI moves from concept to real world deployment. The result is a class of systems that adapts more readily\, operates more sustainably\, and functions independently at scale. Attendees leave with a clear view of emerging architectures\, cross industry use cases\, and the collaborative ecosystem needed to drive the next wave of intelligent edge innovation. \n\n\n\n\n \n \n\n\n\n \n \n\n\n\n \n \n\n\n\n \n \n\n\n\n About Sensors Converge\nSensors Converge is North America’s leading event for sensing\, processing\, connectivity\, power\, and edge AI innovation. \nDiscover more than 200 exhibitors and thousands of technologies across 50 product categories.\nHear directly from experts shaping the next generation of intelligent systems. \nProfessionals building IoT\, edge AI\, embedded systems\, or connected devices will find valuable insights and partners.\nThis is where breakthrough ideas move from concept to real-world deployment. \nJoin the engineering and technology community driving the future of connected innovation. URL:https://wca.org/event/telecom-council-innovation-showcase-2020/ LOCATION:Telecom Council Virtual Meeting Room\, Silicon Valley\, CA CATEGORIES:Partner Events END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20200521T013000 DTEND;TZID=America/Los_Angeles:20200521T053000 DTSTAMP:20260620T093438 CREATED:20200425T161505Z LAST-MODIFIED:20200425T161505Z UID:35581-1590024600-1590039000@wca.org SUMMARY:Telecom Council Innovation Showcase 2020 DESCRIPTION:Edge‑AI for the Next Generation of Connected Systems \n \n The Technologies Shaping Tomorrow’s Intelligent Edge Ecosystem \n \n \n \n \n\n\n \nEdge AI is changing how devices sense\, think\, and act in real time. Today\, it helps systems work faster\, smarter\, and with less human support. As a result\, IoT\, industrial\, and smart infrastructure networks can do more at the edge. They can also save energy\, reduce downtime\, and respond faster to change. \nThis World of Connected AI (WCA) roundtable brings four technology leaders together. They will explore how key technologies support smarter edge systems.These include wireless power\, shared energy intelligence\, long range connectivity\, and AI driven sensing. Together\, these tools create systems that can run with greater freedom and scale.They also help build cleaner\, stronger\, and more reliable digital infrastructure. \nHow Does Wireless Power Help Edge AI Grow?\nWireless power removes many limits linked to standard batteries. Because of this\, edge devices can keep sensing without frequent battery changes. They can also work longer and deliver steady performance. This reduces service visits and lowers the cost of large device networks. \nIn addition\, wireless power supports sensors in hard to reach places. So\, teams can place devices where data matters most.This gives Edge AI systems more reach\, better uptime\, and stronger field performance. \nEdge AI and Smarter Energy Management\nDecentralized energy systems are changing how microgrids work.I nstead of relying on one main controller\, assets can share decisions. Solar panels\, storage units\, and EV chargers can adapt as conditions change. As a result\, energy networks become more flexible and more resilient. \nEdge AI adds value by helping these assets act in real time. It can track demand\, balance supply\, and support cleaner energy use. Therefore\, microgrids can respond faster while using resources more wisely. \nLong Range Connectivity Expands Edge AI Networks\nLong range\, low power wireless networks help Edge AI scale across wide areas. These networks support thousands of connected devices without heavy energy use. They also improve coverage for cities\, factories\, farms\, and remote sites. For example\, sub GHz IoT connectivity can link devices across large spaces. It gives teams reliable data without complex wiring or high power needs. As a result\, organizations can build larger and smarter edge networks. \nAI Driven Sensing Turns Data Into Action\nSmart sensing platforms help turn raw data into useful insight. They can detect changes\, spot risks\, and guide faster decisions. Because of this\, teams gain clearer visibility across daily operations. These systems also support logistics\, safety\, and industrial work. They can automate tasks\, improve alerts\, and reduce response times. Meanwhile\, real time analytics help people act before small issues grow. \nEdge AI Builds Resilient and Scalable Infrastructure\nTogether\, these technologies move Edge AI from idea to real deployment. They support systems that can adapt\, save energy\, and operate with less support. They also help industries build stronger networks for the future. Attendees will learn about new architectures and cross industry use cases. They will also see how collaboration can speed the next wave of edge innovation. With the right ecosystem\, Edge AI can power smarter\, cleaner\, and more independent systems. \n\n\n\n\n \nHow Edge AI Is Powering Smarter\, Self-Sufficient IoT Ecosystems\nEdge AI is reshaping how devices sense\, process\, and act in real time. As a result\, it unlocks new levels of intelligence\, efficiency\, and autonomy across IoT\, industrial\, and smart infrastructure environments. This WCA roundtable brings together four technology leaders\, Energous\, Heila\, Newracom\, and Sensitel with SenseAI\, to examine how wireless power\, distributed energy intelligence\, long range connectivity\, and AI driven sensing combine to create a new generation of self powered\, resilient\, and scalable edge systems. \nWireless Power Networks Eliminate Battery Limits\nEnergous leads the discussion by presenting advances in wireless power networks. These networks remove battery limitations and support continuous sensing at the edge. Consequently\, devices can operate longer\, maintain consistent performance\, and reduce the maintenance burden that traditional battery powered systems create. \nDecentralized Energy Management Reshapes Microgrids\nHeila then demonstrates how autonomous and decentralized energy management transforms microgrids and distributed energy resources. Solar\, storage\, and EV assets work together and adapt without relying on a central controller. In turn\, this approach gives Edge AI systems the flexibility to respond to changing energy conditions in real time. \nLong Range Connectivity Strengthens Edge AI Architectures\nNewracom explains how Wi Fi HaLow delivers long range\, low power connectivity. This capability proves essential for large scale IoT deployments and forms a strong foundation for robust Edge AI architectures. Moreover\, it allows organizations to connect thousands of devices across wide areas without sacrificing power efficiency. \nIntelligent Sensing Brings Context to Raw Data\nSensitel\, powered by SenseAI\, rounds out the panel by showing how intelligent sensing\, workflow automation\, and real time analytics bring contextual awareness to the edge. As a result\, raw sensor data becomes actionable insight that supports operations\, logistics\, and safety across industries. \nWhat Attendees Will Gain\nTogether\, these four perspectives show how Edge AI moves from concept to real world deployment. The result is a class of systems that adapts more readily\, operates more sustainably\, and functions independently at scale. Attendees leave with a clear view of emerging architectures\, cross industry use cases\, and the collaborative ecosystem needed to drive the next wave of intelligent edge innovation. \n\n\n\n\n \n \n\n\n\n \n \n\n\n\n \n \n\n\n\n \n \n\n\n\n About Sensors Converge\nSensors Converge is North America’s leading event for sensing\, processing\, connectivity\, power\, and edge AI innovation. \nDiscover more than 200 exhibitors and thousands of technologies across 50 product categories.\nHear directly from experts shaping the next generation of intelligent systems. \nProfessionals building IoT\, edge AI\, embedded systems\, or connected devices will find valuable insights and partners.\nThis is where breakthrough ideas move from concept to real-world deployment. \nJoin the engineering and technology community driving the future of connected innovation. URL:https://wca.org/event/telecom-council-innovation-showcase-2020-2/ LOCATION:Telecom Council Virtual Meeting Room\, Silicon Valley\, CA CATEGORIES:Partner Events END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20200430T160000 DTEND;TZID=America/Los_Angeles:20200430T170000 DTSTAMP:20260620T093438 CREATED:20200405T162252Z LAST-MODIFIED:20210517T224923Z UID:2041-1588262400-1588266000@wca.org SUMMARY:Webinar - Wireless Power Transfer 2020 DESCRIPTION:Edge‑AI for the Next Generation of Connected Systems \n \n The Technologies Shaping Tomorrow’s Intelligent Edge Ecosystem \n \n \n \n \n\n\n \nEdge AI is changing how devices sense\, think\, and act in real time. Today\, it helps systems work faster\, smarter\, and with less human support. As a result\, IoT\, industrial\, and smart infrastructure networks can do more at the edge. They can also save energy\, reduce downtime\, and respond faster to change. \nThis World of Connected AI (WCA) roundtable brings four technology leaders together. They will explore how key technologies support smarter edge systems.These include wireless power\, shared energy intelligence\, long range connectivity\, and AI driven sensing. Together\, these tools create systems that can run with greater freedom and scale.They also help build cleaner\, stronger\, and more reliable digital infrastructure. \nHow Does Wireless Power Help Edge AI Grow?\nWireless power removes many limits linked to standard batteries. Because of this\, edge devices can keep sensing without frequent battery changes. They can also work longer and deliver steady performance. This reduces service visits and lowers the cost of large device networks. \nIn addition\, wireless power supports sensors in hard to reach places. So\, teams can place devices where data matters most.This gives Edge AI systems more reach\, better uptime\, and stronger field performance. \nEdge AI and Smarter Energy Management\nDecentralized energy systems are changing how microgrids work.I nstead of relying on one main controller\, assets can share decisions. Solar panels\, storage units\, and EV chargers can adapt as conditions change. As a result\, energy networks become more flexible and more resilient. \nEdge AI adds value by helping these assets act in real time. It can track demand\, balance supply\, and support cleaner energy use. Therefore\, microgrids can respond faster while using resources more wisely. \nLong Range Connectivity Expands Edge AI Networks\nLong range\, low power wireless networks help Edge AI scale across wide areas. These networks support thousands of connected devices without heavy energy use. They also improve coverage for cities\, factories\, farms\, and remote sites. For example\, sub GHz IoT connectivity can link devices across large spaces. It gives teams reliable data without complex wiring or high power needs. As a result\, organizations can build larger and smarter edge networks. \nAI Driven Sensing Turns Data Into Action\nSmart sensing platforms help turn raw data into useful insight. They can detect changes\, spot risks\, and guide faster decisions. Because of this\, teams gain clearer visibility across daily operations. These systems also support logistics\, safety\, and industrial work. They can automate tasks\, improve alerts\, and reduce response times. Meanwhile\, real time analytics help people act before small issues grow. \nEdge AI Builds Resilient and Scalable Infrastructure\nTogether\, these technologies move Edge AI from idea to real deployment. They support systems that can adapt\, save energy\, and operate with less support. They also help industries build stronger networks for the future. Attendees will learn about new architectures and cross industry use cases. They will also see how collaboration can speed the next wave of edge innovation. With the right ecosystem\, Edge AI can power smarter\, cleaner\, and more independent systems. \n\n\n\n\n \nHow Edge AI Is Powering Smarter\, Self-Sufficient IoT Ecosystems\nEdge AI is reshaping how devices sense\, process\, and act in real time. As a result\, it unlocks new levels of intelligence\, efficiency\, and autonomy across IoT\, industrial\, and smart infrastructure environments. This WCA roundtable brings together four technology leaders\, Energous\, Heila\, Newracom\, and Sensitel with SenseAI\, to examine how wireless power\, distributed energy intelligence\, long range connectivity\, and AI driven sensing combine to create a new generation of self powered\, resilient\, and scalable edge systems. \nWireless Power Networks Eliminate Battery Limits\nEnergous leads the discussion by presenting advances in wireless power networks. These networks remove battery limitations and support continuous sensing at the edge. Consequently\, devices can operate longer\, maintain consistent performance\, and reduce the maintenance burden that traditional battery powered systems create. \nDecentralized Energy Management Reshapes Microgrids\nHeila then demonstrates how autonomous and decentralized energy management transforms microgrids and distributed energy resources. Solar\, storage\, and EV assets work together and adapt without relying on a central controller. In turn\, this approach gives Edge AI systems the flexibility to respond to changing energy conditions in real time. \nLong Range Connectivity Strengthens Edge AI Architectures\nNewracom explains how Wi Fi HaLow delivers long range\, low power connectivity. This capability proves essential for large scale IoT deployments and forms a strong foundation for robust Edge AI architectures. Moreover\, it allows organizations to connect thousands of devices across wide areas without sacrificing power efficiency. \nIntelligent Sensing Brings Context to Raw Data\nSensitel\, powered by SenseAI\, rounds out the panel by showing how intelligent sensing\, workflow automation\, and real time analytics bring contextual awareness to the edge. As a result\, raw sensor data becomes actionable insight that supports operations\, logistics\, and safety across industries. \nWhat Attendees Will Gain\nTogether\, these four perspectives show how Edge AI moves from concept to real world deployment. The result is a class of systems that adapts more readily\, operates more sustainably\, and functions independently at scale. Attendees leave with a clear view of emerging architectures\, cross industry use cases\, and the collaborative ecosystem needed to drive the next wave of intelligent edge innovation. \n\n\n\n\n \n \n\n\n\n \n \n\n\n\n \n \n\n\n\n \n \n\n\n\n About Sensors Converge\nSensors Converge is North America’s leading event for sensing\, processing\, connectivity\, power\, and edge AI innovation. \nDiscover more than 200 exhibitors and thousands of technologies across 50 product categories.\nHear directly from experts shaping the next generation of intelligent systems. \nProfessionals building IoT\, edge AI\, embedded systems\, or connected devices will find valuable insights and partners.\nThis is where breakthrough ideas move from concept to real-world deployment. \nJoin the engineering and technology community driving the future of connected innovation. URL:https://wca.org/event/webinar-wireless-power-transfer-2020/ LOCATION:Online CATEGORIES:WCA Center Stage END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20200429T113000 DTEND;TZID=America/Los_Angeles:20200429T113000 DTSTAMP:20260620T093438 CREATED:20200425T163942Z LAST-MODIFIED:20200425T164854Z UID:2076-1588159800-1588159800@wca.org SUMMARY:Wireless West Virtual Series 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-west-virtual-series/ CATEGORIES:Industry Events END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20200318T083000 DTEND;TZID=America/Los_Angeles:20200318T130000 DTSTAMP:20260620T093438 CREATED:20200117T002156Z LAST-MODIFIED:20200117T002156Z UID:2002-1584520200-1584536400@wca.org SUMMARY:ComTech Forum on Software-Only Telco DESCRIPTION:Edge‑AI for the Next Generation of Connected Systems \n\n The Technologies Shaping Tomorrow’s Intelligent Edge Ecosystem \n\n\n \n \n\n\n\n \n\n\n\n\n\n\n\n\n\n\n\n\n\n \n\n\nEdge AI is changing how devices sense\, think\, and act in real time. Today\, it helps systems work faster\, smarter\, and with less human support. As a result\, IoT\, industrial\, and smart infrastructure networks can do more at the edge. They can also save energy\, reduce downtime\, and respond faster to change. \nThis World of Connected AI (WCA) roundtable brings four technology leaders together. They will explore how key technologies support smarter edge systems.These include wireless power\, shared energy intelligence\, long range connectivity\, and AI driven sensing. Together\, these tools create systems that can run with greater freedom and scale.They also help build cleaner\, stronger\, and more reliable digital infrastructure. \nHow Does Wireless Power Help Edge AI Grow?\nWireless power removes many limits linked to standard batteries. Because of this\, edge devices can keep sensing without frequent battery changes. They can also work longer and deliver steady performance. This reduces service visits and lowers the cost of large device networks. \nIn addition\, wireless power supports sensors in hard to reach places. So\, teams can place devices where data matters most.This gives Edge AI systems more reach\, better uptime\, and stronger field performance. \nEdge AI and Smarter Energy Management\nDecentralized energy systems are changing how microgrids work.I nstead of relying on one main controller\, assets can share decisions. Solar panels\, storage units\, and EV chargers can adapt as conditions change. As a result\, energy networks become more flexible and more resilient. \nEdge AI adds value by helping these assets act in real time. It can track demand\, balance supply\, and support cleaner energy use. Therefore\, microgrids can respond faster while using resources more wisely. \nLong Range Connectivity Expands Edge AI Networks\nLong range\, low power wireless networks help Edge AI scale across wide areas. These networks support thousands of connected devices without heavy energy use. They also improve coverage for cities\, factories\, farms\, and remote sites. For example\, sub GHz IoT connectivity can link devices across large spaces. It gives teams reliable data without complex wiring or high power needs. As a result\, organizations can build larger and smarter edge networks. \nAI Driven Sensing Turns Data Into Action\nSmart sensing platforms help turn raw data into useful insight. They can detect changes\, spot risks\, and guide faster decisions. Because of this\, teams gain clearer visibility across daily operations. These systems also support logistics\, safety\, and industrial work. They can automate tasks\, improve alerts\, and reduce response times. Meanwhile\, real time analytics help people act before small issues grow. \nEdge AI Builds Resilient and Scalable Infrastructure\nTogether\, these technologies move Edge AI from idea to real deployment. They support systems that can adapt\, save energy\, and operate with less support. They also help industries build stronger networks for the future. Attendees will learn about new architectures and cross industry use cases. They will also see how collaboration can speed the next wave of edge innovation. With the right ecosystem\, Edge AI can power smarter\, cleaner\, and more independent systems. \n\n\n\n\n\n\n \n\n\nHow Edge AI Is Powering Smarter\, Self-Sufficient IoT Ecosystems\nEdge AI is reshaping how devices sense\, process\, and act in real time. As a result\, it unlocks new levels of intelligence\, efficiency\, and autonomy across IoT\, industrial\, and smart infrastructure environments. This WCA roundtable brings together four technology leaders\, Energous\, Heila\, Newracom\, and Sensitel with SenseAI\, to examine how wireless power\, distributed energy intelligence\, long range connectivity\, and AI driven sensing combine to create a new generation of self powered\, resilient\, and scalable edge systems. \nWireless Power Networks Eliminate Battery Limits\nEnergous leads the discussion by presenting advances in wireless power networks. These networks remove battery limitations and support continuous sensing at the edge. Consequently\, devices can operate longer\, maintain consistent performance\, and reduce the maintenance burden that traditional battery powered systems create. \nDecentralized Energy Management Reshapes Microgrids\nHeila then demonstrates how autonomous and decentralized energy management transforms microgrids and distributed energy resources. Solar\, storage\, and EV assets work together and adapt without relying on a central controller. In turn\, this approach gives Edge AI systems the flexibility to respond to changing energy conditions in real time. \nLong Range Connectivity Strengthens Edge AI Architectures\nNewracom explains how Wi Fi HaLow delivers long range\, low power connectivity. This capability proves essential for large scale IoT deployments and forms a strong foundation for robust Edge AI architectures. Moreover\, it allows organizations to connect thousands of devices across wide areas without sacrificing power efficiency. \nIntelligent Sensing Brings Context to Raw Data\nSensitel\, powered by SenseAI\, rounds out the panel by showing how intelligent sensing\, workflow automation\, and real time analytics bring contextual awareness to the edge. As a result\, raw sensor data becomes actionable insight that supports operations\, logistics\, and safety across industries. \nWhat Attendees Will Gain\nTogether\, these four perspectives show how Edge AI moves from concept to real world deployment. The result is a class of systems that adapts more readily\, operates more sustainably\, and functions independently at scale. Attendees leave with a clear view of emerging architectures\, cross industry use cases\, and the collaborative ecosystem needed to drive the next wave of intelligent edge innovation. \n\n\n\n\n\n\n \n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n \n\n \n \n\n\n\n\n\n \n\n \n \n\n\n\n\n\n \n\n \n \n\n\n\n\n\n \n\n \n \n\n\n\n\n\n\n\n\n\n \n\nAbout Sensors Converge\nSensors Converge is North America’s leading event for sensing\, processing\, connectivity\, power\, and edge AI innovation. \nDiscover more than 200 exhibitors and thousands of technologies across 50 product categories.\nHear directly from experts shaping the next generation of intelligent systems. \nProfessionals building IoT\, edge AI\, embedded systems\, or connected devices will find valuable insights and partners.\nThis is where breakthrough ideas move from concept to real-world deployment. \nJoin the engineering and technology community driving the future of connected innovation. URL:https://wca.org/event/comtech-forum-on-software-only-telco/ LOCATION:Rahi Systems\, 48303 Fremont Blvd.\, Fremont\, CA\, 94538\, United States CATEGORIES:Partner Events END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20200226T140000 DTEND;TZID=America/Los_Angeles:20200226T190000 DTSTAMP:20260620T093438 CREATED:20200125T032147Z LAST-MODIFIED:20200125T032637Z UID:2008-1582725600-1582743600@wca.org SUMMARY:UC Davis ECExpo in Santa Clara DESCRIPTION:Edge‑AI for the Next Generation of Connected Systems \n\n The Technologies Shaping Tomorrow’s Intelligent Edge Ecosystem \n\n\n \n \n\n\n\n \n\n\n\n\n\n\n\n\n\n\n\n\n\n \n\n\nEdge AI is changing how devices sense\, think\, and act in real time. Today\, it helps systems work faster\, smarter\, and with less human support. As a result\, IoT\, industrial\, and smart infrastructure networks can do more at the edge. They can also save energy\, reduce downtime\, and respond faster to change. \nThis World of Connected AI (WCA) roundtable brings four technology leaders together. They will explore how key technologies support smarter edge systems.These include wireless power\, shared energy intelligence\, long range connectivity\, and AI driven sensing. Together\, these tools create systems that can run with greater freedom and scale.They also help build cleaner\, stronger\, and more reliable digital infrastructure. \nHow Does Wireless Power Help Edge AI Grow?\nWireless power removes many limits linked to standard batteries. Because of this\, edge devices can keep sensing without frequent battery changes. They can also work longer and deliver steady performance. This reduces service visits and lowers the cost of large device networks. \nIn addition\, wireless power supports sensors in hard to reach places. So\, teams can place devices where data matters most.This gives Edge AI systems more reach\, better uptime\, and stronger field performance. \nEdge AI and Smarter Energy Management\nDecentralized energy systems are changing how microgrids work.I nstead of relying on one main controller\, assets can share decisions. Solar panels\, storage units\, and EV chargers can adapt as conditions change. As a result\, energy networks become more flexible and more resilient. \nEdge AI adds value by helping these assets act in real time. It can track demand\, balance supply\, and support cleaner energy use. Therefore\, microgrids can respond faster while using resources more wisely. \nLong Range Connectivity Expands Edge AI Networks\nLong range\, low power wireless networks help Edge AI scale across wide areas. These networks support thousands of connected devices without heavy energy use. They also improve coverage for cities\, factories\, farms\, and remote sites. For example\, sub GHz IoT connectivity can link devices across large spaces. It gives teams reliable data without complex wiring or high power needs. As a result\, organizations can build larger and smarter edge networks. \nAI Driven Sensing Turns Data Into Action\nSmart sensing platforms help turn raw data into useful insight. They can detect changes\, spot risks\, and guide faster decisions. Because of this\, teams gain clearer visibility across daily operations. These systems also support logistics\, safety\, and industrial work. They can automate tasks\, improve alerts\, and reduce response times. Meanwhile\, real time analytics help people act before small issues grow. \nEdge AI Builds Resilient and Scalable Infrastructure\nTogether\, these technologies move Edge AI from idea to real deployment. They support systems that can adapt\, save energy\, and operate with less support. They also help industries build stronger networks for the future. Attendees will learn about new architectures and cross industry use cases. They will also see how collaboration can speed the next wave of edge innovation. With the right ecosystem\, Edge AI can power smarter\, cleaner\, and more independent systems. \n\n\n\n\n\n\n \n\n\nHow Edge AI Is Powering Smarter\, Self-Sufficient IoT Ecosystems\nEdge AI is reshaping how devices sense\, process\, and act in real time. As a result\, it unlocks new levels of intelligence\, efficiency\, and autonomy across IoT\, industrial\, and smart infrastructure environments. This WCA roundtable brings together four technology leaders\, Energous\, Heila\, Newracom\, and Sensitel with SenseAI\, to examine how wireless power\, distributed energy intelligence\, long range connectivity\, and AI driven sensing combine to create a new generation of self powered\, resilient\, and scalable edge systems. \nWireless Power Networks Eliminate Battery Limits\nEnergous leads the discussion by presenting advances in wireless power networks. These networks remove battery limitations and support continuous sensing at the edge. Consequently\, devices can operate longer\, maintain consistent performance\, and reduce the maintenance burden that traditional battery powered systems create. \nDecentralized Energy Management Reshapes Microgrids\nHeila then demonstrates how autonomous and decentralized energy management transforms microgrids and distributed energy resources. Solar\, storage\, and EV assets work together and adapt without relying on a central controller. In turn\, this approach gives Edge AI systems the flexibility to respond to changing energy conditions in real time. \nLong Range Connectivity Strengthens Edge AI Architectures\nNewracom explains how Wi Fi HaLow delivers long range\, low power connectivity. This capability proves essential for large scale IoT deployments and forms a strong foundation for robust Edge AI architectures. Moreover\, it allows organizations to connect thousands of devices across wide areas without sacrificing power efficiency. \nIntelligent Sensing Brings Context to Raw Data\nSensitel\, powered by SenseAI\, rounds out the panel by showing how intelligent sensing\, workflow automation\, and real time analytics bring contextual awareness to the edge. As a result\, raw sensor data becomes actionable insight that supports operations\, logistics\, and safety across industries. \nWhat Attendees Will Gain\nTogether\, these four perspectives show how Edge AI moves from concept to real world deployment. The result is a class of systems that adapts more readily\, operates more sustainably\, and functions independently at scale. Attendees leave with a clear view of emerging architectures\, cross industry use cases\, and the collaborative ecosystem needed to drive the next wave of intelligent edge innovation. \n\n\n\n\n\n\n \n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n \n\n \n \n\n\n\n\n\n \n\n \n \n\n\n\n\n\n \n\n \n \n\n\n\n\n\n \n\n \n \n\n\n\n\n\n\n\n\n\n \n\nAbout Sensors Converge\nSensors Converge is North America’s leading event for sensing\, processing\, connectivity\, power\, and edge AI innovation. \nDiscover more than 200 exhibitors and thousands of technologies across 50 product categories.\nHear directly from experts shaping the next generation of intelligent systems. \nProfessionals building IoT\, edge AI\, embedded systems\, or connected devices will find valuable insights and partners.\nThis is where breakthrough ideas move from concept to real-world deployment. \nJoin the engineering and technology community driving the future of connected innovation. URL:https://wca.org/event/uc-davis-ecexpo-in-santa-clara/ LOCATION:Texas Instruments Conference Center\, 2900 Semiconductor Dr\, Santa Clara\, CA\, 95051\, United States CATEGORIES:Partner Events ORGANIZER;CN="The Wireless Communications Alliance":MAILTO:events@wca.org END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20200214T080000 DTEND;TZID=America/Los_Angeles:20200214T120000 DTSTAMP:20260620T093438 CREATED:20200205T154226Z LAST-MODIFIED:20200205T154226Z UID:2018-1581667200-1581681600@wca.org SUMMARY:State-of-the-Valley DESCRIPTION:Edge‑AI for the Next Generation of Connected Systems \n\n The Technologies Shaping Tomorrow’s Intelligent Edge Ecosystem \n\n\n \n \n\n\n\n \n\n\n\n\n\n\n\n\n\n\n\n\n\n \n\n\nEdge AI is changing how devices sense\, think\, and act in real time. Today\, it helps systems work faster\, smarter\, and with less human support. As a result\, IoT\, industrial\, and smart infrastructure networks can do more at the edge. They can also save energy\, reduce downtime\, and respond faster to change. \nThis World of Connected AI (WCA) roundtable brings four technology leaders together. They will explore how key technologies support smarter edge systems.These include wireless power\, shared energy intelligence\, long range connectivity\, and AI driven sensing. Together\, these tools create systems that can run with greater freedom and scale.They also help build cleaner\, stronger\, and more reliable digital infrastructure. \nHow Does Wireless Power Help Edge AI Grow?\nWireless power removes many limits linked to standard batteries. Because of this\, edge devices can keep sensing without frequent battery changes. They can also work longer and deliver steady performance. This reduces service visits and lowers the cost of large device networks. \nIn addition\, wireless power supports sensors in hard to reach places. So\, teams can place devices where data matters most.This gives Edge AI systems more reach\, better uptime\, and stronger field performance. \nEdge AI and Smarter Energy Management\nDecentralized energy systems are changing how microgrids work.I nstead of relying on one main controller\, assets can share decisions. Solar panels\, storage units\, and EV chargers can adapt as conditions change. As a result\, energy networks become more flexible and more resilient. \nEdge AI adds value by helping these assets act in real time. It can track demand\, balance supply\, and support cleaner energy use. Therefore\, microgrids can respond faster while using resources more wisely. \nLong Range Connectivity Expands Edge AI Networks\nLong range\, low power wireless networks help Edge AI scale across wide areas. These networks support thousands of connected devices without heavy energy use. They also improve coverage for cities\, factories\, farms\, and remote sites. For example\, sub GHz IoT connectivity can link devices across large spaces. It gives teams reliable data without complex wiring or high power needs. As a result\, organizations can build larger and smarter edge networks. \nAI Driven Sensing Turns Data Into Action\nSmart sensing platforms help turn raw data into useful insight. They can detect changes\, spot risks\, and guide faster decisions. Because of this\, teams gain clearer visibility across daily operations. These systems also support logistics\, safety\, and industrial work. They can automate tasks\, improve alerts\, and reduce response times. Meanwhile\, real time analytics help people act before small issues grow. \nEdge AI Builds Resilient and Scalable Infrastructure\nTogether\, these technologies move Edge AI from idea to real deployment. They support systems that can adapt\, save energy\, and operate with less support. They also help industries build stronger networks for the future. Attendees will learn about new architectures and cross industry use cases. They will also see how collaboration can speed the next wave of edge innovation. With the right ecosystem\, Edge AI can power smarter\, cleaner\, and more independent systems. \n\n\n\n\n\n\n \n\n\nHow Edge AI Is Powering Smarter\, Self-Sufficient IoT Ecosystems\nEdge AI is reshaping how devices sense\, process\, and act in real time. As a result\, it unlocks new levels of intelligence\, efficiency\, and autonomy across IoT\, industrial\, and smart infrastructure environments. This WCA roundtable brings together four technology leaders\, Energous\, Heila\, Newracom\, and Sensitel with SenseAI\, to examine how wireless power\, distributed energy intelligence\, long range connectivity\, and AI driven sensing combine to create a new generation of self powered\, resilient\, and scalable edge systems. \nWireless Power Networks Eliminate Battery Limits\nEnergous leads the discussion by presenting advances in wireless power networks. These networks remove battery limitations and support continuous sensing at the edge. Consequently\, devices can operate longer\, maintain consistent performance\, and reduce the maintenance burden that traditional battery powered systems create. \nDecentralized Energy Management Reshapes Microgrids\nHeila then demonstrates how autonomous and decentralized energy management transforms microgrids and distributed energy resources. Solar\, storage\, and EV assets work together and adapt without relying on a central controller. In turn\, this approach gives Edge AI systems the flexibility to respond to changing energy conditions in real time. \nLong Range Connectivity Strengthens Edge AI Architectures\nNewracom explains how Wi Fi HaLow delivers long range\, low power connectivity. This capability proves essential for large scale IoT deployments and forms a strong foundation for robust Edge AI architectures. Moreover\, it allows organizations to connect thousands of devices across wide areas without sacrificing power efficiency. \nIntelligent Sensing Brings Context to Raw Data\nSensitel\, powered by SenseAI\, rounds out the panel by showing how intelligent sensing\, workflow automation\, and real time analytics bring contextual awareness to the edge. As a result\, raw sensor data becomes actionable insight that supports operations\, logistics\, and safety across industries. \nWhat Attendees Will Gain\nTogether\, these four perspectives show how Edge AI moves from concept to real world deployment. The result is a class of systems that adapts more readily\, operates more sustainably\, and functions independently at scale. Attendees leave with a clear view of emerging architectures\, cross industry use cases\, and the collaborative ecosystem needed to drive the next wave of intelligent edge innovation. \n\n\n\n\n\n\n \n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n \n\n \n \n\n\n\n\n\n \n\n \n \n\n\n\n\n\n \n\n \n \n\n\n\n\n\n \n\n \n \n\n\n\n\n\n\n\n\n\n \n\nAbout Sensors Converge\nSensors Converge is North America’s leading event for sensing\, processing\, connectivity\, power\, and edge AI innovation. \nDiscover more than 200 exhibitors and thousands of technologies across 50 product categories.\nHear directly from experts shaping the next generation of intelligent systems. \nProfessionals building IoT\, edge AI\, embedded systems\, or connected devices will find valuable insights and partners.\nThis is where breakthrough ideas move from concept to real-world deployment. \nJoin the engineering and technology community driving the future of connected innovation. URL:https://wca.org/event/state-of-the-valley/ LOCATION:San Jose Convention Center\, Almaden\, San Jose\, CA\, United States CATEGORIES:Partner Events ORGANIZER;CN="THE SILICON VALLEY ORGANIZATION":MAILTO:info@thesvo.com END:VEVENT BEGIN:VEVENT DTSTART;VALUE=DATE:20200210 DTEND;VALUE=DATE:20200212 DTSTAMP:20260620T093438 CREATED:20191221T010309Z LAST-MODIFIED:20191221T010309Z UID:1995-1581300000-1581386399@wca.org SUMMARY:Smart Building Conference DESCRIPTION:Edge‑AI for the Next Generation of Connected Systems \n\n The Technologies Shaping Tomorrow’s Intelligent Edge Ecosystem \n\n\n \n \n\n\n\n \n\n\n\n\n\n\n\n\n\n\n\n\n\n \n\n\nEdge AI is changing how devices sense\, think\, and act in real time. Today\, it helps systems work faster\, smarter\, and with less human support. As a result\, IoT\, industrial\, and smart infrastructure networks can do more at the edge. They can also save energy\, reduce downtime\, and respond faster to change. \nThis World of Connected AI (WCA) roundtable brings four technology leaders together. They will explore how key technologies support smarter edge systems.These include wireless power\, shared energy intelligence\, long range connectivity\, and AI driven sensing. Together\, these tools create systems that can run with greater freedom and scale.They also help build cleaner\, stronger\, and more reliable digital infrastructure. \nHow Does Wireless Power Help Edge AI Grow?\nWireless power removes many limits linked to standard batteries. Because of this\, edge devices can keep sensing without frequent battery changes. They can also work longer and deliver steady performance. This reduces service visits and lowers the cost of large device networks. \nIn addition\, wireless power supports sensors in hard to reach places. So\, teams can place devices where data matters most.This gives Edge AI systems more reach\, better uptime\, and stronger field performance. \nEdge AI and Smarter Energy Management\nDecentralized energy systems are changing how microgrids work.I nstead of relying on one main controller\, assets can share decisions. Solar panels\, storage units\, and EV chargers can adapt as conditions change. As a result\, energy networks become more flexible and more resilient. \nEdge AI adds value by helping these assets act in real time. It can track demand\, balance supply\, and support cleaner energy use. Therefore\, microgrids can respond faster while using resources more wisely. \nLong Range Connectivity Expands Edge AI Networks\nLong range\, low power wireless networks help Edge AI scale across wide areas. These networks support thousands of connected devices without heavy energy use. They also improve coverage for cities\, factories\, farms\, and remote sites. For example\, sub GHz IoT connectivity can link devices across large spaces. It gives teams reliable data without complex wiring or high power needs. As a result\, organizations can build larger and smarter edge networks. \nAI Driven Sensing Turns Data Into Action\nSmart sensing platforms help turn raw data into useful insight. They can detect changes\, spot risks\, and guide faster decisions. Because of this\, teams gain clearer visibility across daily operations. These systems also support logistics\, safety\, and industrial work. They can automate tasks\, improve alerts\, and reduce response times. Meanwhile\, real time analytics help people act before small issues grow. \nEdge AI Builds Resilient and Scalable Infrastructure\nTogether\, these technologies move Edge AI from idea to real deployment. They support systems that can adapt\, save energy\, and operate with less support. They also help industries build stronger networks for the future. Attendees will learn about new architectures and cross industry use cases. They will also see how collaboration can speed the next wave of edge innovation. With the right ecosystem\, Edge AI can power smarter\, cleaner\, and more independent systems. \n\n\n\n\n\n\n \n\n\nHow Edge AI Is Powering Smarter\, Self-Sufficient IoT Ecosystems\nEdge AI is reshaping how devices sense\, process\, and act in real time. As a result\, it unlocks new levels of intelligence\, efficiency\, and autonomy across IoT\, industrial\, and smart infrastructure environments. This WCA roundtable brings together four technology leaders\, Energous\, Heila\, Newracom\, and Sensitel with SenseAI\, to examine how wireless power\, distributed energy intelligence\, long range connectivity\, and AI driven sensing combine to create a new generation of self powered\, resilient\, and scalable edge systems. \nWireless Power Networks Eliminate Battery Limits\nEnergous leads the discussion by presenting advances in wireless power networks. These networks remove battery limitations and support continuous sensing at the edge. Consequently\, devices can operate longer\, maintain consistent performance\, and reduce the maintenance burden that traditional battery powered systems create. \nDecentralized Energy Management Reshapes Microgrids\nHeila then demonstrates how autonomous and decentralized energy management transforms microgrids and distributed energy resources. Solar\, storage\, and EV assets work together and adapt without relying on a central controller. In turn\, this approach gives Edge AI systems the flexibility to respond to changing energy conditions in real time. \nLong Range Connectivity Strengthens Edge AI Architectures\nNewracom explains how Wi Fi HaLow delivers long range\, low power connectivity. This capability proves essential for large scale IoT deployments and forms a strong foundation for robust Edge AI architectures. Moreover\, it allows organizations to connect thousands of devices across wide areas without sacrificing power efficiency. \nIntelligent Sensing Brings Context to Raw Data\nSensitel\, powered by SenseAI\, rounds out the panel by showing how intelligent sensing\, workflow automation\, and real time analytics bring contextual awareness to the edge. As a result\, raw sensor data becomes actionable insight that supports operations\, logistics\, and safety across industries. \nWhat Attendees Will Gain\nTogether\, these four perspectives show how Edge AI moves from concept to real world deployment. The result is a class of systems that adapts more readily\, operates more sustainably\, and functions independently at scale. Attendees leave with a clear view of emerging architectures\, cross industry use cases\, and the collaborative ecosystem needed to drive the next wave of intelligent edge innovation. \n\n\n\n\n\n\n \n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n \n\n \n \n\n\n\n\n\n \n\n \n \n\n\n\n\n\n \n\n \n \n\n\n\n\n\n \n\n \n \n\n\n\n\n\n\n\n\n\n \n\nAbout Sensors Converge\nSensors Converge is North America’s leading event for sensing\, processing\, connectivity\, power\, and edge AI innovation. \nDiscover more than 200 exhibitors and thousands of technologies across 50 product categories.\nHear directly from experts shaping the next generation of intelligent systems. \nProfessionals building IoT\, edge AI\, embedded systems\, or connected devices will find valuable insights and partners.\nThis is where breakthrough ideas move from concept to real-world deployment. \nJoin the engineering and technology community driving the future of connected innovation. URL:https://wca.org/event/smart-building-conference/ LOCATION:Amsterdam\, NL CATEGORIES:Industry Events END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20200128T180000 DTEND;TZID=America/Los_Angeles:20200128T210000 DTSTAMP:20260620T093438 CREATED:20191023T143132Z LAST-MODIFIED:20200202T192739Z UID:1958-1580234400-1580245200@wca.org SUMMARY:Spectrum Overview: 2020 and beyond... DESCRIPTION:Edge‑AI for the Next Generation of Connected Systems \n\n The Technologies Shaping Tomorrow’s Intelligent Edge Ecosystem \n\n\n \n \n\n\n\n \n\n\n\n\n\n\n\n\n\n\n\n\n\n \n\n\nEdge AI is changing how devices sense\, think\, and act in real time. Today\, it helps systems work faster\, smarter\, and with less human support. As a result\, IoT\, industrial\, and smart infrastructure networks can do more at the edge. They can also save energy\, reduce downtime\, and respond faster to change. \nThis World of Connected AI (WCA) roundtable brings four technology leaders together. They will explore how key technologies support smarter edge systems.These include wireless power\, shared energy intelligence\, long range connectivity\, and AI driven sensing. Together\, these tools create systems that can run with greater freedom and scale.They also help build cleaner\, stronger\, and more reliable digital infrastructure. \nHow Does Wireless Power Help Edge AI Grow?\nWireless power removes many limits linked to standard batteries. Because of this\, edge devices can keep sensing without frequent battery changes. They can also work longer and deliver steady performance. This reduces service visits and lowers the cost of large device networks. \nIn addition\, wireless power supports sensors in hard to reach places. So\, teams can place devices where data matters most.This gives Edge AI systems more reach\, better uptime\, and stronger field performance. \nEdge AI and Smarter Energy Management\nDecentralized energy systems are changing how microgrids work.I nstead of relying on one main controller\, assets can share decisions. Solar panels\, storage units\, and EV chargers can adapt as conditions change. As a result\, energy networks become more flexible and more resilient. \nEdge AI adds value by helping these assets act in real time. It can track demand\, balance supply\, and support cleaner energy use. Therefore\, microgrids can respond faster while using resources more wisely. \nLong Range Connectivity Expands Edge AI Networks\nLong range\, low power wireless networks help Edge AI scale across wide areas. These networks support thousands of connected devices without heavy energy use. They also improve coverage for cities\, factories\, farms\, and remote sites. For example\, sub GHz IoT connectivity can link devices across large spaces. It gives teams reliable data without complex wiring or high power needs. As a result\, organizations can build larger and smarter edge networks. \nAI Driven Sensing Turns Data Into Action\nSmart sensing platforms help turn raw data into useful insight. They can detect changes\, spot risks\, and guide faster decisions. Because of this\, teams gain clearer visibility across daily operations. These systems also support logistics\, safety\, and industrial work. They can automate tasks\, improve alerts\, and reduce response times. Meanwhile\, real time analytics help people act before small issues grow. \nEdge AI Builds Resilient and Scalable Infrastructure\nTogether\, these technologies move Edge AI from idea to real deployment. They support systems that can adapt\, save energy\, and operate with less support. They also help industries build stronger networks for the future. Attendees will learn about new architectures and cross industry use cases. They will also see how collaboration can speed the next wave of edge innovation. With the right ecosystem\, Edge AI can power smarter\, cleaner\, and more independent systems. \n\n\n\n\n\n\n \n\n\nHow Edge AI Is Powering Smarter\, Self-Sufficient IoT Ecosystems\nEdge AI is reshaping how devices sense\, process\, and act in real time. As a result\, it unlocks new levels of intelligence\, efficiency\, and autonomy across IoT\, industrial\, and smart infrastructure environments. This WCA roundtable brings together four technology leaders\, Energous\, Heila\, Newracom\, and Sensitel with SenseAI\, to examine how wireless power\, distributed energy intelligence\, long range connectivity\, and AI driven sensing combine to create a new generation of self powered\, resilient\, and scalable edge systems. \nWireless Power Networks Eliminate Battery Limits\nEnergous leads the discussion by presenting advances in wireless power networks. These networks remove battery limitations and support continuous sensing at the edge. Consequently\, devices can operate longer\, maintain consistent performance\, and reduce the maintenance burden that traditional battery powered systems create. \nDecentralized Energy Management Reshapes Microgrids\nHeila then demonstrates how autonomous and decentralized energy management transforms microgrids and distributed energy resources. Solar\, storage\, and EV assets work together and adapt without relying on a central controller. In turn\, this approach gives Edge AI systems the flexibility to respond to changing energy conditions in real time. \nLong Range Connectivity Strengthens Edge AI Architectures\nNewracom explains how Wi Fi HaLow delivers long range\, low power connectivity. This capability proves essential for large scale IoT deployments and forms a strong foundation for robust Edge AI architectures. Moreover\, it allows organizations to connect thousands of devices across wide areas without sacrificing power efficiency. \nIntelligent Sensing Brings Context to Raw Data\nSensitel\, powered by SenseAI\, rounds out the panel by showing how intelligent sensing\, workflow automation\, and real time analytics bring contextual awareness to the edge. As a result\, raw sensor data becomes actionable insight that supports operations\, logistics\, and safety across industries. \nWhat Attendees Will Gain\nTogether\, these four perspectives show how Edge AI moves from concept to real world deployment. The result is a class of systems that adapts more readily\, operates more sustainably\, and functions independently at scale. Attendees leave with a clear view of emerging architectures\, cross industry use cases\, and the collaborative ecosystem needed to drive the next wave of intelligent edge innovation. \n\n\n\n\n\n\n \n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n \n\n \n \n\n\n\n\n\n \n\n \n \n\n\n\n\n\n \n\n \n \n\n\n\n\n\n \n\n \n \n\n\n\n\n\n\n\n\n\n \n\nAbout Sensors Converge\nSensors Converge is North America’s leading event for sensing\, processing\, connectivity\, power\, and edge AI innovation. \nDiscover more than 200 exhibitors and thousands of technologies across 50 product categories.\nHear directly from experts shaping the next generation of intelligent systems. \nProfessionals building IoT\, edge AI\, embedded systems\, or connected devices will find valuable insights and partners.\nThis is where breakthrough ideas move from concept to real-world deployment. \nJoin the engineering and technology community driving the future of connected innovation. URL:https://wca.org/event/spectrum-overview-2020-and-beyond/ LOCATION:Aruba Networks\, 3333 Scott Blvd\, Santa Clara\, CA\, 95054\, United States CATEGORIES:WCA Center Stage ORGANIZER;CN="The Wireless Communications Alliance":MAILTO:events@wca.org END:VEVENT BEGIN:VEVENT DTSTART;VALUE=DATE:20200121 DTEND;VALUE=DATE:20200125 DTSTAMP:20260620T093439 CREATED:20191221T010053Z LAST-MODIFIED:20191221T010053Z UID:1992-1579572000-1579831199@wca.org SUMMARY:Smart Cities International Symposium & Exhibition DESCRIPTION:Edge‑AI for the Next Generation of Connected Systems \n\n The Technologies Shaping Tomorrow’s Intelligent Edge Ecosystem \n\n\n \n \n\n\n\n \n\n\n\n\n\n\n\n\n\n\n\n\n\n \n\n\nEdge AI is changing how devices sense\, think\, and act in real time. Today\, it helps systems work faster\, smarter\, and with less human support. As a result\, IoT\, industrial\, and smart infrastructure networks can do more at the edge. They can also save energy\, reduce downtime\, and respond faster to change. \nThis World of Connected AI (WCA) roundtable brings four technology leaders together. They will explore how key technologies support smarter edge systems.These include wireless power\, shared energy intelligence\, long range connectivity\, and AI driven sensing. Together\, these tools create systems that can run with greater freedom and scale.They also help build cleaner\, stronger\, and more reliable digital infrastructure. \nHow Does Wireless Power Help Edge AI Grow?\nWireless power removes many limits linked to standard batteries. Because of this\, edge devices can keep sensing without frequent battery changes. They can also work longer and deliver steady performance. This reduces service visits and lowers the cost of large device networks. \nIn addition\, wireless power supports sensors in hard to reach places. So\, teams can place devices where data matters most.This gives Edge AI systems more reach\, better uptime\, and stronger field performance. \nEdge AI and Smarter Energy Management\nDecentralized energy systems are changing how microgrids work.I nstead of relying on one main controller\, assets can share decisions. Solar panels\, storage units\, and EV chargers can adapt as conditions change. As a result\, energy networks become more flexible and more resilient. \nEdge AI adds value by helping these assets act in real time. It can track demand\, balance supply\, and support cleaner energy use. Therefore\, microgrids can respond faster while using resources more wisely. \nLong Range Connectivity Expands Edge AI Networks\nLong range\, low power wireless networks help Edge AI scale across wide areas. These networks support thousands of connected devices without heavy energy use. They also improve coverage for cities\, factories\, farms\, and remote sites. For example\, sub GHz IoT connectivity can link devices across large spaces. It gives teams reliable data without complex wiring or high power needs. As a result\, organizations can build larger and smarter edge networks. \nAI Driven Sensing Turns Data Into Action\nSmart sensing platforms help turn raw data into useful insight. They can detect changes\, spot risks\, and guide faster decisions. Because of this\, teams gain clearer visibility across daily operations. These systems also support logistics\, safety\, and industrial work. They can automate tasks\, improve alerts\, and reduce response times. Meanwhile\, real time analytics help people act before small issues grow. \nEdge AI Builds Resilient and Scalable Infrastructure\nTogether\, these technologies move Edge AI from idea to real deployment. They support systems that can adapt\, save energy\, and operate with less support. They also help industries build stronger networks for the future. Attendees will learn about new architectures and cross industry use cases. They will also see how collaboration can speed the next wave of edge innovation. With the right ecosystem\, Edge AI can power smarter\, cleaner\, and more independent systems. \n\n\n\n\n\n\n \n\n\nHow Edge AI Is Powering Smarter\, Self-Sufficient IoT Ecosystems\nEdge AI is reshaping how devices sense\, process\, and act in real time. As a result\, it unlocks new levels of intelligence\, efficiency\, and autonomy across IoT\, industrial\, and smart infrastructure environments. This WCA roundtable brings together four technology leaders\, Energous\, Heila\, Newracom\, and Sensitel with SenseAI\, to examine how wireless power\, distributed energy intelligence\, long range connectivity\, and AI driven sensing combine to create a new generation of self powered\, resilient\, and scalable edge systems. \nWireless Power Networks Eliminate Battery Limits\nEnergous leads the discussion by presenting advances in wireless power networks. These networks remove battery limitations and support continuous sensing at the edge. Consequently\, devices can operate longer\, maintain consistent performance\, and reduce the maintenance burden that traditional battery powered systems create. \nDecentralized Energy Management Reshapes Microgrids\nHeila then demonstrates how autonomous and decentralized energy management transforms microgrids and distributed energy resources. Solar\, storage\, and EV assets work together and adapt without relying on a central controller. In turn\, this approach gives Edge AI systems the flexibility to respond to changing energy conditions in real time. \nLong Range Connectivity Strengthens Edge AI Architectures\nNewracom explains how Wi Fi HaLow delivers long range\, low power connectivity. This capability proves essential for large scale IoT deployments and forms a strong foundation for robust Edge AI architectures. Moreover\, it allows organizations to connect thousands of devices across wide areas without sacrificing power efficiency. \nIntelligent Sensing Brings Context to Raw Data\nSensitel\, powered by SenseAI\, rounds out the panel by showing how intelligent sensing\, workflow automation\, and real time analytics bring contextual awareness to the edge. As a result\, raw sensor data becomes actionable insight that supports operations\, logistics\, and safety across industries. \nWhat Attendees Will Gain\nTogether\, these four perspectives show how Edge AI moves from concept to real world deployment. The result is a class of systems that adapts more readily\, operates more sustainably\, and functions independently at scale. Attendees leave with a clear view of emerging architectures\, cross industry use cases\, and the collaborative ecosystem needed to drive the next wave of intelligent edge innovation. \n\n\n\n\n\n\n \n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n \n\n \n \n\n\n\n\n\n \n\n \n \n\n\n\n\n\n \n\n \n \n\n\n\n\n\n \n\n \n \n\n\n\n\n\n\n\n\n\n \n\nAbout Sensors Converge\nSensors Converge is North America’s leading event for sensing\, processing\, connectivity\, power\, and edge AI innovation. \nDiscover more than 200 exhibitors and thousands of technologies across 50 product categories.\nHear directly from experts shaping the next generation of intelligent systems. \nProfessionals building IoT\, edge AI\, embedded systems\, or connected devices will find valuable insights and partners.\nThis is where breakthrough ideas move from concept to real-world deployment. \nJoin the engineering and technology community driving the future of connected innovation. URL:https://wca.org/event/smart-cities-international-symposium-exhibition/ LOCATION:Chicago\, IL CATEGORIES:Industry Events END:VEVENT BEGIN:VEVENT DTSTART;VALUE=DATE:20200112 DTEND;VALUE=DATE:20200116 DTSTAMP:20260620T093439 CREATED:20191221T005857Z LAST-MODIFIED:20191221T005857Z UID:1989-1578794400-1579053599@wca.org SUMMARY:NRF 2020 Vision DESCRIPTION:Edge‑AI for the Next Generation of Connected Systems \n\n The Technologies Shaping Tomorrow’s Intelligent Edge Ecosystem \n\n\n \n \n\n\n\n \n\n\n\n\n\n\n\n\n\n\n\n\n\n \n\n\nEdge AI is changing how devices sense\, think\, and act in real time. Today\, it helps systems work faster\, smarter\, and with less human support. As a result\, IoT\, industrial\, and smart infrastructure networks can do more at the edge. They can also save energy\, reduce downtime\, and respond faster to change. \nThis World of Connected AI (WCA) roundtable brings four technology leaders together. They will explore how key technologies support smarter edge systems.These include wireless power\, shared energy intelligence\, long range connectivity\, and AI driven sensing. Together\, these tools create systems that can run with greater freedom and scale.They also help build cleaner\, stronger\, and more reliable digital infrastructure. \nHow Does Wireless Power Help Edge AI Grow?\nWireless power removes many limits linked to standard batteries. Because of this\, edge devices can keep sensing without frequent battery changes. They can also work longer and deliver steady performance. This reduces service visits and lowers the cost of large device networks. \nIn addition\, wireless power supports sensors in hard to reach places. So\, teams can place devices where data matters most.This gives Edge AI systems more reach\, better uptime\, and stronger field performance. \nEdge AI and Smarter Energy Management\nDecentralized energy systems are changing how microgrids work.I nstead of relying on one main controller\, assets can share decisions. Solar panels\, storage units\, and EV chargers can adapt as conditions change. As a result\, energy networks become more flexible and more resilient. \nEdge AI adds value by helping these assets act in real time. It can track demand\, balance supply\, and support cleaner energy use. Therefore\, microgrids can respond faster while using resources more wisely. \nLong Range Connectivity Expands Edge AI Networks\nLong range\, low power wireless networks help Edge AI scale across wide areas. These networks support thousands of connected devices without heavy energy use. They also improve coverage for cities\, factories\, farms\, and remote sites. For example\, sub GHz IoT connectivity can link devices across large spaces. It gives teams reliable data without complex wiring or high power needs. As a result\, organizations can build larger and smarter edge networks. \nAI Driven Sensing Turns Data Into Action\nSmart sensing platforms help turn raw data into useful insight. They can detect changes\, spot risks\, and guide faster decisions. Because of this\, teams gain clearer visibility across daily operations. These systems also support logistics\, safety\, and industrial work. They can automate tasks\, improve alerts\, and reduce response times. Meanwhile\, real time analytics help people act before small issues grow. \nEdge AI Builds Resilient and Scalable Infrastructure\nTogether\, these technologies move Edge AI from idea to real deployment. They support systems that can adapt\, save energy\, and operate with less support. They also help industries build stronger networks for the future. Attendees will learn about new architectures and cross industry use cases. They will also see how collaboration can speed the next wave of edge innovation. With the right ecosystem\, Edge AI can power smarter\, cleaner\, and more independent systems. \n\n\n\n\n\n\n \n\n\nHow Edge AI Is Powering Smarter\, Self-Sufficient IoT Ecosystems\nEdge AI is reshaping how devices sense\, process\, and act in real time. As a result\, it unlocks new levels of intelligence\, efficiency\, and autonomy across IoT\, industrial\, and smart infrastructure environments. This WCA roundtable brings together four technology leaders\, Energous\, Heila\, Newracom\, and Sensitel with SenseAI\, to examine how wireless power\, distributed energy intelligence\, long range connectivity\, and AI driven sensing combine to create a new generation of self powered\, resilient\, and scalable edge systems. \nWireless Power Networks Eliminate Battery Limits\nEnergous leads the discussion by presenting advances in wireless power networks. These networks remove battery limitations and support continuous sensing at the edge. Consequently\, devices can operate longer\, maintain consistent performance\, and reduce the maintenance burden that traditional battery powered systems create. \nDecentralized Energy Management Reshapes Microgrids\nHeila then demonstrates how autonomous and decentralized energy management transforms microgrids and distributed energy resources. Solar\, storage\, and EV assets work together and adapt without relying on a central controller. In turn\, this approach gives Edge AI systems the flexibility to respond to changing energy conditions in real time. \nLong Range Connectivity Strengthens Edge AI Architectures\nNewracom explains how Wi Fi HaLow delivers long range\, low power connectivity. This capability proves essential for large scale IoT deployments and forms a strong foundation for robust Edge AI architectures. Moreover\, it allows organizations to connect thousands of devices across wide areas without sacrificing power efficiency. \nIntelligent Sensing Brings Context to Raw Data\nSensitel\, powered by SenseAI\, rounds out the panel by showing how intelligent sensing\, workflow automation\, and real time analytics bring contextual awareness to the edge. As a result\, raw sensor data becomes actionable insight that supports operations\, logistics\, and safety across industries. \nWhat Attendees Will Gain\nTogether\, these four perspectives show how Edge AI moves from concept to real world deployment. The result is a class of systems that adapts more readily\, operates more sustainably\, and functions independently at scale. Attendees leave with a clear view of emerging architectures\, cross industry use cases\, and the collaborative ecosystem needed to drive the next wave of intelligent edge innovation. \n\n\n\n\n\n\n \n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n \n\n \n \n\n\n\n\n\n \n\n \n \n\n\n\n\n\n \n\n \n \n\n\n\n\n\n \n\n \n \n\n\n\n\n\n\n\n\n\n \n\nAbout Sensors Converge\nSensors Converge is North America’s leading event for sensing\, processing\, connectivity\, power\, and edge AI innovation. \nDiscover more than 200 exhibitors and thousands of technologies across 50 product categories.\nHear directly from experts shaping the next generation of intelligent systems. \nProfessionals building IoT\, edge AI\, embedded systems\, or connected devices will find valuable insights and partners.\nThis is where breakthrough ideas move from concept to real-world deployment. \nJoin the engineering and technology community driving the future of connected innovation. URL:https://wca.org/event/nrf-2020-vision/ LOCATION:New York\, NY CATEGORIES:Industry Events END:VEVENT BEGIN:VEVENT DTSTART;VALUE=DATE:20200107 DTEND;VALUE=DATE:20200112 DTSTAMP:20260620T093439 CREATED:20191221T005758Z LAST-MODIFIED:20191221T005758Z UID:1986-1578362400-1578707999@wca.org SUMMARY:CES 2020 DESCRIPTION:Edge‑AI for the Next Generation of Connected Systems \n\n The Technologies Shaping Tomorrow’s Intelligent Edge Ecosystem \n\n\n \n \n\n\n\n \n\n\n\n\n\n\n\n\n\n\n\n\n\n \n\n\nEdge AI is changing how devices sense\, think\, and act in real time. Today\, it helps systems work faster\, smarter\, and with less human support. As a result\, IoT\, industrial\, and smart infrastructure networks can do more at the edge. They can also save energy\, reduce downtime\, and respond faster to change. \nThis World of Connected AI (WCA) roundtable brings four technology leaders together. They will explore how key technologies support smarter edge systems.These include wireless power\, shared energy intelligence\, long range connectivity\, and AI driven sensing. Together\, these tools create systems that can run with greater freedom and scale.They also help build cleaner\, stronger\, and more reliable digital infrastructure. \nHow Does Wireless Power Help Edge AI Grow?\nWireless power removes many limits linked to standard batteries. Because of this\, edge devices can keep sensing without frequent battery changes. They can also work longer and deliver steady performance. This reduces service visits and lowers the cost of large device networks. \nIn addition\, wireless power supports sensors in hard to reach places. So\, teams can place devices where data matters most.This gives Edge AI systems more reach\, better uptime\, and stronger field performance. \nEdge AI and Smarter Energy Management\nDecentralized energy systems are changing how microgrids work.I nstead of relying on one main controller\, assets can share decisions. Solar panels\, storage units\, and EV chargers can adapt as conditions change. As a result\, energy networks become more flexible and more resilient. \nEdge AI adds value by helping these assets act in real time. It can track demand\, balance supply\, and support cleaner energy use. Therefore\, microgrids can respond faster while using resources more wisely. \nLong Range Connectivity Expands Edge AI Networks\nLong range\, low power wireless networks help Edge AI scale across wide areas. These networks support thousands of connected devices without heavy energy use. They also improve coverage for cities\, factories\, farms\, and remote sites. For example\, sub GHz IoT connectivity can link devices across large spaces. It gives teams reliable data without complex wiring or high power needs. As a result\, organizations can build larger and smarter edge networks. \nAI Driven Sensing Turns Data Into Action\nSmart sensing platforms help turn raw data into useful insight. They can detect changes\, spot risks\, and guide faster decisions. Because of this\, teams gain clearer visibility across daily operations. These systems also support logistics\, safety\, and industrial work. They can automate tasks\, improve alerts\, and reduce response times. Meanwhile\, real time analytics help people act before small issues grow. \nEdge AI Builds Resilient and Scalable Infrastructure\nTogether\, these technologies move Edge AI from idea to real deployment. They support systems that can adapt\, save energy\, and operate with less support. They also help industries build stronger networks for the future. Attendees will learn about new architectures and cross industry use cases. They will also see how collaboration can speed the next wave of edge innovation. With the right ecosystem\, Edge AI can power smarter\, cleaner\, and more independent systems. \n\n\n\n\n\n\n \n\n\nHow Edge AI Is Powering Smarter\, Self-Sufficient IoT Ecosystems\nEdge AI is reshaping how devices sense\, process\, and act in real time. As a result\, it unlocks new levels of intelligence\, efficiency\, and autonomy across IoT\, industrial\, and smart infrastructure environments. This WCA roundtable brings together four technology leaders\, Energous\, Heila\, Newracom\, and Sensitel with SenseAI\, to examine how wireless power\, distributed energy intelligence\, long range connectivity\, and AI driven sensing combine to create a new generation of self powered\, resilient\, and scalable edge systems. \nWireless Power Networks Eliminate Battery Limits\nEnergous leads the discussion by presenting advances in wireless power networks. These networks remove battery limitations and support continuous sensing at the edge. Consequently\, devices can operate longer\, maintain consistent performance\, and reduce the maintenance burden that traditional battery powered systems create. \nDecentralized Energy Management Reshapes Microgrids\nHeila then demonstrates how autonomous and decentralized energy management transforms microgrids and distributed energy resources. Solar\, storage\, and EV assets work together and adapt without relying on a central controller. In turn\, this approach gives Edge AI systems the flexibility to respond to changing energy conditions in real time. \nLong Range Connectivity Strengthens Edge AI Architectures\nNewracom explains how Wi Fi HaLow delivers long range\, low power connectivity. This capability proves essential for large scale IoT deployments and forms a strong foundation for robust Edge AI architectures. Moreover\, it allows organizations to connect thousands of devices across wide areas without sacrificing power efficiency. \nIntelligent Sensing Brings Context to Raw Data\nSensitel\, powered by SenseAI\, rounds out the panel by showing how intelligent sensing\, workflow automation\, and real time analytics bring contextual awareness to the edge. As a result\, raw sensor data becomes actionable insight that supports operations\, logistics\, and safety across industries. \nWhat Attendees Will Gain\nTogether\, these four perspectives show how Edge AI moves from concept to real world deployment. The result is a class of systems that adapts more readily\, operates more sustainably\, and functions independently at scale. Attendees leave with a clear view of emerging architectures\, cross industry use cases\, and the collaborative ecosystem needed to drive the next wave of intelligent edge innovation. \n\n\n\n\n\n\n \n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n \n\n \n \n\n\n\n\n\n \n\n \n \n\n\n\n\n\n \n\n \n \n\n\n\n\n\n \n\n \n \n\n\n\n\n\n\n\n\n\n \n\nAbout Sensors Converge\nSensors Converge is North America’s leading event for sensing\, processing\, connectivity\, power\, and edge AI innovation. \nDiscover more than 200 exhibitors and thousands of technologies across 50 product categories.\nHear directly from experts shaping the next generation of intelligent systems. \nProfessionals building IoT\, edge AI\, embedded systems\, or connected devices will find valuable insights and partners.\nThis is where breakthrough ideas move from concept to real-world deployment. \nJoin the engineering and technology community driving the future of connected innovation. URL:https://wca.org/event/ces-2020/ LOCATION:Las Vegas\, NV CATEGORIES:Industry Events END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20200107T020000 DTEND;TZID=America/Los_Angeles:20200111T015959 DTSTAMP:20260620T093439 CREATED:20191221T005758Z LAST-MODIFIED:20191221T005758Z UID:35572-1578362400-1578707999@wca.org SUMMARY:CES 2020 DESCRIPTION:Edge‑AI for the Next Generation of Connected Systems \n\n The Technologies Shaping Tomorrow’s Intelligent Edge Ecosystem \n\n\n \n \n\n\n\n \n\n\n\n\n\n\n\n\n\n\n\n\n\n \n\n\nEdge AI is changing how devices sense\, think\, and act in real time. Today\, it helps systems work faster\, smarter\, and with less human support. As a result\, IoT\, industrial\, and smart infrastructure networks can do more at the edge. They can also save energy\, reduce downtime\, and respond faster to change. \nThis World of Connected AI (WCA) roundtable brings four technology leaders together. They will explore how key technologies support smarter edge systems.These include wireless power\, shared energy intelligence\, long range connectivity\, and AI driven sensing. Together\, these tools create systems that can run with greater freedom and scale.They also help build cleaner\, stronger\, and more reliable digital infrastructure. \nHow Does Wireless Power Help Edge AI Grow?\nWireless power removes many limits linked to standard batteries. Because of this\, edge devices can keep sensing without frequent battery changes. They can also work longer and deliver steady performance. This reduces service visits and lowers the cost of large device networks. \nIn addition\, wireless power supports sensors in hard to reach places. So\, teams can place devices where data matters most.This gives Edge AI systems more reach\, better uptime\, and stronger field performance. \nEdge AI and Smarter Energy Management\nDecentralized energy systems are changing how microgrids work.I nstead of relying on one main controller\, assets can share decisions. Solar panels\, storage units\, and EV chargers can adapt as conditions change. As a result\, energy networks become more flexible and more resilient. \nEdge AI adds value by helping these assets act in real time. It can track demand\, balance supply\, and support cleaner energy use. Therefore\, microgrids can respond faster while using resources more wisely. \nLong Range Connectivity Expands Edge AI Networks\nLong range\, low power wireless networks help Edge AI scale across wide areas. These networks support thousands of connected devices without heavy energy use. They also improve coverage for cities\, factories\, farms\, and remote sites. For example\, sub GHz IoT connectivity can link devices across large spaces. It gives teams reliable data without complex wiring or high power needs. As a result\, organizations can build larger and smarter edge networks. \nAI Driven Sensing Turns Data Into Action\nSmart sensing platforms help turn raw data into useful insight. They can detect changes\, spot risks\, and guide faster decisions. Because of this\, teams gain clearer visibility across daily operations. These systems also support logistics\, safety\, and industrial work. They can automate tasks\, improve alerts\, and reduce response times. Meanwhile\, real time analytics help people act before small issues grow. \nEdge AI Builds Resilient and Scalable Infrastructure\nTogether\, these technologies move Edge AI from idea to real deployment. They support systems that can adapt\, save energy\, and operate with less support. They also help industries build stronger networks for the future. Attendees will learn about new architectures and cross industry use cases. They will also see how collaboration can speed the next wave of edge innovation. With the right ecosystem\, Edge AI can power smarter\, cleaner\, and more independent systems. \n\n\n\n\n\n\n \n\n\nHow Edge AI Is Powering Smarter\, Self-Sufficient IoT Ecosystems\nEdge AI is reshaping how devices sense\, process\, and act in real time. As a result\, it unlocks new levels of intelligence\, efficiency\, and autonomy across IoT\, industrial\, and smart infrastructure environments. This WCA roundtable brings together four technology leaders\, Energous\, Heila\, Newracom\, and Sensitel with SenseAI\, to examine how wireless power\, distributed energy intelligence\, long range connectivity\, and AI driven sensing combine to create a new generation of self powered\, resilient\, and scalable edge systems. \nWireless Power Networks Eliminate Battery Limits\nEnergous leads the discussion by presenting advances in wireless power networks. These networks remove battery limitations and support continuous sensing at the edge. Consequently\, devices can operate longer\, maintain consistent performance\, and reduce the maintenance burden that traditional battery powered systems create. \nDecentralized Energy Management Reshapes Microgrids\nHeila then demonstrates how autonomous and decentralized energy management transforms microgrids and distributed energy resources. Solar\, storage\, and EV assets work together and adapt without relying on a central controller. In turn\, this approach gives Edge AI systems the flexibility to respond to changing energy conditions in real time. \nLong Range Connectivity Strengthens Edge AI Architectures\nNewracom explains how Wi Fi HaLow delivers long range\, low power connectivity. This capability proves essential for large scale IoT deployments and forms a strong foundation for robust Edge AI architectures. Moreover\, it allows organizations to connect thousands of devices across wide areas without sacrificing power efficiency. \nIntelligent Sensing Brings Context to Raw Data\nSensitel\, powered by SenseAI\, rounds out the panel by showing how intelligent sensing\, workflow automation\, and real time analytics bring contextual awareness to the edge. As a result\, raw sensor data becomes actionable insight that supports operations\, logistics\, and safety across industries. \nWhat Attendees Will Gain\nTogether\, these four perspectives show how Edge AI moves from concept to real world deployment. The result is a class of systems that adapts more readily\, operates more sustainably\, and functions independently at scale. Attendees leave with a clear view of emerging architectures\, cross industry use cases\, and the collaborative ecosystem needed to drive the next wave of intelligent edge innovation. \n\n\n\n\n\n\n \n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n \n\n \n \n\n\n\n\n\n \n\n \n \n\n\n\n\n\n \n\n \n \n\n\n\n\n\n \n\n \n \n\n\n\n\n\n\n\n\n\n \n\nAbout Sensors Converge\nSensors Converge is North America’s leading event for sensing\, processing\, connectivity\, power\, and edge AI innovation. \nDiscover more than 200 exhibitors and thousands of technologies across 50 product categories.\nHear directly from experts shaping the next generation of intelligent systems. \nProfessionals building IoT\, edge AI\, embedded systems\, or connected devices will find valuable insights and partners.\nThis is where breakthrough ideas move from concept to real-world deployment. \nJoin the engineering and technology community driving the future of connected innovation. URL:https://wca.org/event/ces-2020-2/ LOCATION:Las Vegas\, NV CATEGORIES:Industry Events END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20191212T083000 DTEND;TZID=America/Los_Angeles:20191212T130000 DTSTAMP:20260620T093439 CREATED:20191030T223324Z LAST-MODIFIED:20191119T164650Z UID:1964-1576139400-1576155600@wca.org SUMMARY:TC3 IoT Forum on Smart 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\n \n\n\n\n\n\n\n\n\n\n\n\n\n\n \n\n\nEdge AI is changing how devices sense\, think\, and act in real time. Today\, it helps systems work faster\, smarter\, and with less human support. As a result\, IoT\, industrial\, and smart infrastructure networks can do more at the edge. They can also save energy\, reduce downtime\, and respond faster to change. \nThis World of Connected AI (WCA) roundtable brings four technology leaders together. They will explore how key technologies support smarter edge systems.These include wireless power\, shared energy intelligence\, long range connectivity\, and AI driven sensing. Together\, these tools create systems that can run with greater freedom and scale.They also help build cleaner\, stronger\, and more reliable digital infrastructure. \nHow Does Wireless Power Help Edge AI Grow?\nWireless power removes many limits linked to standard batteries. Because of this\, edge devices can keep sensing without frequent battery changes. They can also work longer and deliver steady performance. This reduces service visits and lowers the cost of large device networks. \nIn addition\, wireless power supports sensors in hard to reach places. So\, teams can place devices where data matters most.This gives Edge AI systems more reach\, better uptime\, and stronger field performance. \nEdge AI and Smarter Energy Management\nDecentralized energy systems are changing how microgrids work.I nstead of relying on one main controller\, assets can share decisions. Solar panels\, storage units\, and EV chargers can adapt as conditions change. As a result\, energy networks become more flexible and more resilient. \nEdge AI adds value by helping these assets act in real time. It can track demand\, balance supply\, and support cleaner energy use. Therefore\, microgrids can respond faster while using resources more wisely. \nLong Range Connectivity Expands Edge AI Networks\nLong range\, low power wireless networks help Edge AI scale across wide areas. These networks support thousands of connected devices without heavy energy use. They also improve coverage for cities\, factories\, farms\, and remote sites. For example\, sub GHz IoT connectivity can link devices across large spaces. It gives teams reliable data without complex wiring or high power needs. As a result\, organizations can build larger and smarter edge networks. \nAI Driven Sensing Turns Data Into Action\nSmart sensing platforms help turn raw data into useful insight. They can detect changes\, spot risks\, and guide faster decisions. Because of this\, teams gain clearer visibility across daily operations. These systems also support logistics\, safety\, and industrial work. They can automate tasks\, improve alerts\, and reduce response times. Meanwhile\, real time analytics help people act before small issues grow. \nEdge AI Builds Resilient and Scalable Infrastructure\nTogether\, these technologies move Edge AI from idea to real deployment. They support systems that can adapt\, save energy\, and operate with less support. They also help industries build stronger networks for the future. Attendees will learn about new architectures and cross industry use cases. They will also see how collaboration can speed the next wave of edge innovation. With the right ecosystem\, Edge AI can power smarter\, cleaner\, and more independent systems. \n\n\n\n\n\n\n \n\n\nHow Edge AI Is Powering Smarter\, Self-Sufficient IoT Ecosystems\nEdge AI is reshaping how devices sense\, process\, and act in real time. As a result\, it unlocks new levels of intelligence\, efficiency\, and autonomy across IoT\, industrial\, and smart infrastructure environments. This WCA roundtable brings together four technology leaders\, Energous\, Heila\, Newracom\, and Sensitel with SenseAI\, to examine how wireless power\, distributed energy intelligence\, long range connectivity\, and AI driven sensing combine to create a new generation of self powered\, resilient\, and scalable edge systems. \nWireless Power Networks Eliminate Battery Limits\nEnergous leads the discussion by presenting advances in wireless power networks. These networks remove battery limitations and support continuous sensing at the edge. Consequently\, devices can operate longer\, maintain consistent performance\, and reduce the maintenance burden that traditional battery powered systems create. \nDecentralized Energy Management Reshapes Microgrids\nHeila then demonstrates how autonomous and decentralized energy management transforms microgrids and distributed energy resources. Solar\, storage\, and EV assets work together and adapt without relying on a central controller. In turn\, this approach gives Edge AI systems the flexibility to respond to changing energy conditions in real time. \nLong Range Connectivity Strengthens Edge AI Architectures\nNewracom explains how Wi Fi HaLow delivers long range\, low power connectivity. This capability proves essential for large scale IoT deployments and forms a strong foundation for robust Edge AI architectures. Moreover\, it allows organizations to connect thousands of devices across wide areas without sacrificing power efficiency. \nIntelligent Sensing Brings Context to Raw Data\nSensitel\, powered by SenseAI\, rounds out the panel by showing how intelligent sensing\, workflow automation\, and real time analytics bring contextual awareness to the edge. As a result\, raw sensor data becomes actionable insight that supports operations\, logistics\, and safety across industries. \nWhat Attendees Will Gain\nTogether\, these four perspectives show how Edge AI moves from concept to real world deployment. The result is a class of systems that adapts more readily\, operates more sustainably\, and functions independently at scale. Attendees leave with a clear view of emerging architectures\, cross industry use cases\, and the collaborative ecosystem needed to drive the next wave of intelligent edge innovation. \n\n\n\n\n\n\n \n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n \n\n \n \n\n\n\n\n\n \n\n \n \n\n\n\n\n\n \n\n \n \n\n\n\n\n\n \n\n \n \n\n\n\n\n\n\n\n\n\n \n\nAbout Sensors Converge\nSensors Converge is North America’s leading event for sensing\, processing\, connectivity\, power\, and edge AI innovation. \nDiscover more than 200 exhibitors and thousands of technologies across 50 product categories.\nHear directly from experts shaping the next generation of intelligent systems. \nProfessionals building IoT\, edge AI\, embedded systems\, or connected devices will find valuable insights and partners.\nThis is where breakthrough ideas move from concept to real-world deployment. \nJoin the engineering and technology community driving the future of connected innovation. URL:https://wca.org/event/tc3-iot-forum-on-smart-home/ LOCATION:Nokia\, 200 S. Mathilda Ave.\, Sunnyvale\, CA\, 94086\, United States CATEGORIES:Partner Events ATTACH;FMTTYPE=image/jpeg:https://wca.org/wp-content/uploads/IoTForum_sq_poweredby_300.jpg END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20191121T180000 DTEND;TZID=America/Los_Angeles:20191121T210000 DTSTAMP:20260620T093439 CREATED:20180802T154905Z LAST-MODIFIED:20180802T154905Z UID:35546-1574359200-1574370000@wca.org SUMMARY:What's Hot & What's Not DESCRIPTION:Edge‑AI for the Next Generation of Connected Systems \n\n The Technologies Shaping Tomorrow’s Intelligent Edge Ecosystem \n\n\n \n \n\n\n\n \n\n\n\n\n\n\n\n\n\n\n\n\n\n \n\n\nEdge AI is changing how devices sense\, think\, and act in real time. Today\, it helps systems work faster\, smarter\, and with less human support. As a result\, IoT\, industrial\, and smart infrastructure networks can do more at the edge. They can also save energy\, reduce downtime\, and respond faster to change. \nThis World of Connected AI (WCA) roundtable brings four technology leaders together. They will explore how key technologies support smarter edge systems.These include wireless power\, shared energy intelligence\, long range connectivity\, and AI driven sensing. Together\, these tools create systems that can run with greater freedom and scale.They also help build cleaner\, stronger\, and more reliable digital infrastructure. \nHow Does Wireless Power Help Edge AI Grow?\nWireless power removes many limits linked to standard batteries. Because of this\, edge devices can keep sensing without frequent battery changes. They can also work longer and deliver steady performance. This reduces service visits and lowers the cost of large device networks. \nIn addition\, wireless power supports sensors in hard to reach places. So\, teams can place devices where data matters most.This gives Edge AI systems more reach\, better uptime\, and stronger field performance. \nEdge AI and Smarter Energy Management\nDecentralized energy systems are changing how microgrids work.I nstead of relying on one main controller\, assets can share decisions. Solar panels\, storage units\, and EV chargers can adapt as conditions change. As a result\, energy networks become more flexible and more resilient. \nEdge AI adds value by helping these assets act in real time. It can track demand\, balance supply\, and support cleaner energy use. Therefore\, microgrids can respond faster while using resources more wisely. \nLong Range Connectivity Expands Edge AI Networks\nLong range\, low power wireless networks help Edge AI scale across wide areas. These networks support thousands of connected devices without heavy energy use. They also improve coverage for cities\, factories\, farms\, and remote sites. For example\, sub GHz IoT connectivity can link devices across large spaces. It gives teams reliable data without complex wiring or high power needs. As a result\, organizations can build larger and smarter edge networks. \nAI Driven Sensing Turns Data Into Action\nSmart sensing platforms help turn raw data into useful insight. They can detect changes\, spot risks\, and guide faster decisions. Because of this\, teams gain clearer visibility across daily operations. These systems also support logistics\, safety\, and industrial work. They can automate tasks\, improve alerts\, and reduce response times. Meanwhile\, real time analytics help people act before small issues grow. \nEdge AI Builds Resilient and Scalable Infrastructure\nTogether\, these technologies move Edge AI from idea to real deployment. They support systems that can adapt\, save energy\, and operate with less support. They also help industries build stronger networks for the future. Attendees will learn about new architectures and cross industry use cases. They will also see how collaboration can speed the next wave of edge innovation. With the right ecosystem\, Edge AI can power smarter\, cleaner\, and more independent systems. \n\n\n\n\n\n\n \n\n\nHow Edge AI Is Powering Smarter\, Self-Sufficient IoT Ecosystems\nEdge AI is reshaping how devices sense\, process\, and act in real time. As a result\, it unlocks new levels of intelligence\, efficiency\, and autonomy across IoT\, industrial\, and smart infrastructure environments. This WCA roundtable brings together four technology leaders\, Energous\, Heila\, Newracom\, and Sensitel with SenseAI\, to examine how wireless power\, distributed energy intelligence\, long range connectivity\, and AI driven sensing combine to create a new generation of self powered\, resilient\, and scalable edge systems. \nWireless Power Networks Eliminate Battery Limits\nEnergous leads the discussion by presenting advances in wireless power networks. These networks remove battery limitations and support continuous sensing at the edge. Consequently\, devices can operate longer\, maintain consistent performance\, and reduce the maintenance burden that traditional battery powered systems create. \nDecentralized Energy Management Reshapes Microgrids\nHeila then demonstrates how autonomous and decentralized energy management transforms microgrids and distributed energy resources. Solar\, storage\, and EV assets work together and adapt without relying on a central controller. In turn\, this approach gives Edge AI systems the flexibility to respond to changing energy conditions in real time. \nLong Range Connectivity Strengthens Edge AI Architectures\nNewracom explains how Wi Fi HaLow delivers long range\, low power connectivity. This capability proves essential for large scale IoT deployments and forms a strong foundation for robust Edge AI architectures. Moreover\, it allows organizations to connect thousands of devices across wide areas without sacrificing power efficiency. \nIntelligent Sensing Brings Context to Raw Data\nSensitel\, powered by SenseAI\, rounds out the panel by showing how intelligent sensing\, workflow automation\, and real time analytics bring contextual awareness to the edge. As a result\, raw sensor data becomes actionable insight that supports operations\, logistics\, and safety across industries. \nWhat Attendees Will Gain\nTogether\, these four perspectives show how Edge AI moves from concept to real world deployment. The result is a class of systems that adapts more readily\, operates more sustainably\, and functions independently at scale. Attendees leave with a clear view of emerging architectures\, cross industry use cases\, and the collaborative ecosystem needed to drive the next wave of intelligent edge innovation. \n\n\n\n\n\n\n \n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n \n\n \n \n\n\n\n\n\n \n\n \n \n\n\n\n\n\n \n\n \n \n\n\n\n\n\n \n\n \n \n\n\n\n\n\n\n\n\n\n \n\nAbout Sensors Converge\nSensors Converge is North America’s leading event for sensing\, processing\, connectivity\, power\, and edge AI innovation. \nDiscover more than 200 exhibitors and thousands of technologies across 50 product categories.\nHear directly from experts shaping the next generation of intelligent systems. \nProfessionals building IoT\, edge AI\, embedded systems\, or connected devices will find valuable insights and partners.\nThis is where breakthrough ideas move from concept to real-world deployment. \nJoin the engineering and technology community driving the future of connected innovation. URL:https://wca.org/event/whwn-19-2/ LOCATION:Silicon Valley Bank\, 3005 Tasman Drive\, Santa Clara\, CA\, 95054\, United States CATEGORIES:WCA Center Stage ORGANIZER;CN="The Wireless Communications Alliance":MAILTO:events@wca.org END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20191113T083000 DTEND;TZID=America/Los_Angeles:20191113T130000 DTSTAMP:20260620T093439 CREATED:20190920T000551Z LAST-MODIFIED:20191023T152819Z UID:1944-1573633800-1573650000@wca.org SUMMARY:TC3 ComTech Forum on 5G DESCRIPTION:Edge‑AI for the Next Generation of Connected Systems \n\n The Technologies Shaping Tomorrow’s Intelligent Edge Ecosystem \n\n\n \n \n\n\n\n \n\n\n\n\n\n\n\n\n\n\n\n\n\n \n\n\nEdge AI is changing how devices sense\, think\, and act in real time. Today\, it helps systems work faster\, smarter\, and with less human support. As a result\, IoT\, industrial\, and smart infrastructure networks can do more at the edge. They can also save energy\, reduce downtime\, and respond faster to change. \nThis World of Connected AI (WCA) roundtable brings four technology leaders together. They will explore how key technologies support smarter edge systems.These include wireless power\, shared energy intelligence\, long range connectivity\, and AI driven sensing. Together\, these tools create systems that can run with greater freedom and scale.They also help build cleaner\, stronger\, and more reliable digital infrastructure. \nHow Does Wireless Power Help Edge AI Grow?\nWireless power removes many limits linked to standard batteries. Because of this\, edge devices can keep sensing without frequent battery changes. They can also work longer and deliver steady performance. This reduces service visits and lowers the cost of large device networks. \nIn addition\, wireless power supports sensors in hard to reach places. So\, teams can place devices where data matters most.This gives Edge AI systems more reach\, better uptime\, and stronger field performance. \nEdge AI and Smarter Energy Management\nDecentralized energy systems are changing how microgrids work.I nstead of relying on one main controller\, assets can share decisions. Solar panels\, storage units\, and EV chargers can adapt as conditions change. As a result\, energy networks become more flexible and more resilient. \nEdge AI adds value by helping these assets act in real time. It can track demand\, balance supply\, and support cleaner energy use. Therefore\, microgrids can respond faster while using resources more wisely. \nLong Range Connectivity Expands Edge AI Networks\nLong range\, low power wireless networks help Edge AI scale across wide areas. These networks support thousands of connected devices without heavy energy use. They also improve coverage for cities\, factories\, farms\, and remote sites. For example\, sub GHz IoT connectivity can link devices across large spaces. It gives teams reliable data without complex wiring or high power needs. As a result\, organizations can build larger and smarter edge networks. \nAI Driven Sensing Turns Data Into Action\nSmart sensing platforms help turn raw data into useful insight. They can detect changes\, spot risks\, and guide faster decisions. Because of this\, teams gain clearer visibility across daily operations. These systems also support logistics\, safety\, and industrial work. They can automate tasks\, improve alerts\, and reduce response times. Meanwhile\, real time analytics help people act before small issues grow. \nEdge AI Builds Resilient and Scalable Infrastructure\nTogether\, these technologies move Edge AI from idea to real deployment. They support systems that can adapt\, save energy\, and operate with less support. They also help industries build stronger networks for the future. Attendees will learn about new architectures and cross industry use cases. They will also see how collaboration can speed the next wave of edge innovation. With the right ecosystem\, Edge AI can power smarter\, cleaner\, and more independent systems. \n\n\n\n\n\n\n \n\n\nHow Edge AI Is Powering Smarter\, Self-Sufficient IoT Ecosystems\nEdge AI is reshaping how devices sense\, process\, and act in real time. As a result\, it unlocks new levels of intelligence\, efficiency\, and autonomy across IoT\, industrial\, and smart infrastructure environments. This WCA roundtable brings together four technology leaders\, Energous\, Heila\, Newracom\, and Sensitel with SenseAI\, to examine how wireless power\, distributed energy intelligence\, long range connectivity\, and AI driven sensing combine to create a new generation of self powered\, resilient\, and scalable edge systems. \nWireless Power Networks Eliminate Battery Limits\nEnergous leads the discussion by presenting advances in wireless power networks. These networks remove battery limitations and support continuous sensing at the edge. Consequently\, devices can operate longer\, maintain consistent performance\, and reduce the maintenance burden that traditional battery powered systems create. \nDecentralized Energy Management Reshapes Microgrids\nHeila then demonstrates how autonomous and decentralized energy management transforms microgrids and distributed energy resources. Solar\, storage\, and EV assets work together and adapt without relying on a central controller. In turn\, this approach gives Edge AI systems the flexibility to respond to changing energy conditions in real time. \nLong Range Connectivity Strengthens Edge AI Architectures\nNewracom explains how Wi Fi HaLow delivers long range\, low power connectivity. This capability proves essential for large scale IoT deployments and forms a strong foundation for robust Edge AI architectures. Moreover\, it allows organizations to connect thousands of devices across wide areas without sacrificing power efficiency. \nIntelligent Sensing Brings Context to Raw Data\nSensitel\, powered by SenseAI\, rounds out the panel by showing how intelligent sensing\, workflow automation\, and real time analytics bring contextual awareness to the edge. As a result\, raw sensor data becomes actionable insight that supports operations\, logistics\, and safety across industries. \nWhat Attendees Will Gain\nTogether\, these four perspectives show how Edge AI moves from concept to real world deployment. The result is a class of systems that adapts more readily\, operates more sustainably\, and functions independently at scale. Attendees leave with a clear view of emerging architectures\, cross industry use cases\, and the collaborative ecosystem needed to drive the next wave of intelligent edge innovation. \n\n\n\n\n\n\n \n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n \n\n \n \n\n\n\n\n\n \n\n \n \n\n\n\n\n\n \n\n \n \n\n\n\n\n\n \n\n \n \n\n\n\n\n\n\n\n\n\n \n\nAbout Sensors Converge\nSensors Converge is North America’s leading event for sensing\, processing\, connectivity\, power\, and edge AI innovation. \nDiscover more than 200 exhibitors and thousands of technologies across 50 product categories.\nHear directly from experts shaping the next generation of intelligent systems. \nProfessionals building IoT\, edge AI\, embedded systems\, or connected devices will find valuable insights and partners.\nThis is where breakthrough ideas move from concept to real-world deployment. \nJoin the engineering and technology community driving the future of connected innovation. URL:https://wca.org/event/tc3-comtech-forum-on-5g/ LOCATION:Samsung\, 665 Clyde Avenue\, Mountain View\, CA\, 94043 CATEGORIES:Partner Events ATTACH;FMTTYPE=image/jpeg:https://wca.org/wp-content/uploads/TC_comtech-powered-by_300.jpg END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20191017T083000 DTEND;TZID=America/Los_Angeles:20191017T130000 DTSTAMP:20260620T093439 CREATED:20190920T000358Z LAST-MODIFIED:20190920T000358Z UID:1941-1571301000-1571317200@wca.org SUMMARY:TC3 IoT Forum on Industrial IoT DESCRIPTION:Edge‑AI for the Next Generation of Connected Systems \n\n The Technologies Shaping Tomorrow’s Intelligent Edge Ecosystem \n\n\n \n \n\n\n\n \n\n\n\n\n\n\n\n\n\n\n\n\n\n \n\n\nEdge AI is changing how devices sense\, think\, and act in real time. Today\, it helps systems work faster\, smarter\, and with less human support. As a result\, IoT\, industrial\, and smart infrastructure networks can do more at the edge. They can also save energy\, reduce downtime\, and respond faster to change. \nThis World of Connected AI (WCA) roundtable brings four technology leaders together. They will explore how key technologies support smarter edge systems.These include wireless power\, shared energy intelligence\, long range connectivity\, and AI driven sensing. Together\, these tools create systems that can run with greater freedom and scale.They also help build cleaner\, stronger\, and more reliable digital infrastructure. \nHow Does Wireless Power Help Edge AI Grow?\nWireless power removes many limits linked to standard batteries. Because of this\, edge devices can keep sensing without frequent battery changes. They can also work longer and deliver steady performance. This reduces service visits and lowers the cost of large device networks. \nIn addition\, wireless power supports sensors in hard to reach places. So\, teams can place devices where data matters most.This gives Edge AI systems more reach\, better uptime\, and stronger field performance. \nEdge AI and Smarter Energy Management\nDecentralized energy systems are changing how microgrids work.I nstead of relying on one main controller\, assets can share decisions. Solar panels\, storage units\, and EV chargers can adapt as conditions change. As a result\, energy networks become more flexible and more resilient. \nEdge AI adds value by helping these assets act in real time. It can track demand\, balance supply\, and support cleaner energy use. Therefore\, microgrids can respond faster while using resources more wisely. \nLong Range Connectivity Expands Edge AI Networks\nLong range\, low power wireless networks help Edge AI scale across wide areas. These networks support thousands of connected devices without heavy energy use. They also improve coverage for cities\, factories\, farms\, and remote sites. For example\, sub GHz IoT connectivity can link devices across large spaces. It gives teams reliable data without complex wiring or high power needs. As a result\, organizations can build larger and smarter edge networks. \nAI Driven Sensing Turns Data Into Action\nSmart sensing platforms help turn raw data into useful insight. They can detect changes\, spot risks\, and guide faster decisions. Because of this\, teams gain clearer visibility across daily operations. These systems also support logistics\, safety\, and industrial work. They can automate tasks\, improve alerts\, and reduce response times. Meanwhile\, real time analytics help people act before small issues grow. \nEdge AI Builds Resilient and Scalable Infrastructure\nTogether\, these technologies move Edge AI from idea to real deployment. They support systems that can adapt\, save energy\, and operate with less support. They also help industries build stronger networks for the future. Attendees will learn about new architectures and cross industry use cases. They will also see how collaboration can speed the next wave of edge innovation. With the right ecosystem\, Edge AI can power smarter\, cleaner\, and more independent systems. \n\n\n\n\n\n\n \n\n\nHow Edge AI Is Powering Smarter\, Self-Sufficient IoT Ecosystems\nEdge AI is reshaping how devices sense\, process\, and act in real time. As a result\, it unlocks new levels of intelligence\, efficiency\, and autonomy across IoT\, industrial\, and smart infrastructure environments. This WCA roundtable brings together four technology leaders\, Energous\, Heila\, Newracom\, and Sensitel with SenseAI\, to examine how wireless power\, distributed energy intelligence\, long range connectivity\, and AI driven sensing combine to create a new generation of self powered\, resilient\, and scalable edge systems. \nWireless Power Networks Eliminate Battery Limits\nEnergous leads the discussion by presenting advances in wireless power networks. These networks remove battery limitations and support continuous sensing at the edge. Consequently\, devices can operate longer\, maintain consistent performance\, and reduce the maintenance burden that traditional battery powered systems create. \nDecentralized Energy Management Reshapes Microgrids\nHeila then demonstrates how autonomous and decentralized energy management transforms microgrids and distributed energy resources. Solar\, storage\, and EV assets work together and adapt without relying on a central controller. In turn\, this approach gives Edge AI systems the flexibility to respond to changing energy conditions in real time. \nLong Range Connectivity Strengthens Edge AI Architectures\nNewracom explains how Wi Fi HaLow delivers long range\, low power connectivity. This capability proves essential for large scale IoT deployments and forms a strong foundation for robust Edge AI architectures. Moreover\, it allows organizations to connect thousands of devices across wide areas without sacrificing power efficiency. \nIntelligent Sensing Brings Context to Raw Data\nSensitel\, powered by SenseAI\, rounds out the panel by showing how intelligent sensing\, workflow automation\, and real time analytics bring contextual awareness to the edge. As a result\, raw sensor data becomes actionable insight that supports operations\, logistics\, and safety across industries. \nWhat Attendees Will Gain\nTogether\, these four perspectives show how Edge AI moves from concept to real world deployment. The result is a class of systems that adapts more readily\, operates more sustainably\, and functions independently at scale. Attendees leave with a clear view of emerging architectures\, cross industry use cases\, and the collaborative ecosystem needed to drive the next wave of intelligent edge innovation. \n\n\n\n\n\n\n \n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n \n\n \n \n\n\n\n\n\n \n\n \n \n\n\n\n\n\n \n\n \n \n\n\n\n\n\n \n\n \n \n\n\n\n\n\n\n\n\n\n \n\nAbout Sensors Converge\nSensors Converge is North America’s leading event for sensing\, processing\, connectivity\, power\, and edge AI innovation. \nDiscover more than 200 exhibitors and thousands of technologies across 50 product categories.\nHear directly from experts shaping the next generation of intelligent systems. \nProfessionals building IoT\, edge AI\, embedded systems\, or connected devices will find valuable insights and partners.\nThis is where breakthrough ideas move from concept to real-world deployment. \nJoin the engineering and technology community driving the future of connected innovation. URL:https://wca.org/event/tc3-iot-forum-on-industrial-iot/ LOCATION:Silicon Valley Bank\, 3005 Tasman Drive\, Santa Clara\, CA\, 95054\, United States CATEGORIES:Partner Events END:VEVENT END:VCALENDAR