Smarter at the Edge: AI + Sensors + Connectivity

Session details:

Edge AI is transforming sensing by enabling real-time decisioning, reducing latency, and cutting bandwidth and energy use. Yet legacy architectures—cloud-centric, coverage-limited, and power-hungry—often constrain performance. 

In this session, Martin Jefferson, Global Solutions Architect with Globalstar, will share how private wireless and satellite-augmented networks can unlock the full potential of MEMS, smart sensors, and embedded AI. He’ll explore strategies for pushing intelligence closer to the sensor—filtering and preprocessing data locally to reduce upstream load—while maintaining resilience under intermittent connectivity. Real-world use cases, from industrial automation to environmental monitoring and remote safety operations, highlight the advantages of combining sensing, compute, and connectivity at the edge. Attendees will gain practical guidance on network selection, edge pipeline design, and risk mitigation around energy, security, and scalability—key to building smarter, faster, and more reliable sensing systems.