Edge 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.

This 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.

How Does Wireless Power Help Edge AI Grow?

Name: Edge‑AI for the Next Generation of Connected Systems
Start: 2026-08-20T09:00:00-07:00
End: 2026-08-20T10:00:00-07:00

Wireless 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.

In 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.

Edge AI and Smarter Energy Management

Decentralized 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.

Edge 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.

Long Range Connectivity Expands Edge AI Networks

Long 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.

AI Driven Sensing Turns Data Into Action

Smart 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.

Edge AI Builds Resilient and Scalable Infrastructure

Together, 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.

How Edge AI Is Powering Smarter, Self-Sufficient IoT Ecosystems

Edge 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.

Wireless Power Networks Eliminate Battery Limits

Energous 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.

Decentralized Energy Management Reshapes Microgrids

Heila 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.

Long Range Connectivity Strengthens Edge AI Architectures

Newracom 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.

Intelligent Sensing Brings Context to Raw Data

Sensitel, 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.

What Attendees Will Gain

Together, 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.