As AI workloads increasingly move from centralized cloud environments to edge infrastructure, organizations face new challenges in deploying intelligent systems across large fleets of distributed devices. This session explores architectural patterns for building autonomous Edge AI systems that combine local decision-making with cloud orchestration.

Drawing on real-world experience deploying Edge AI platforms across IoT and enterprise environments, the talk covers distributed AI architectures, agentic decision systems at the edge, and orchestration strategies using cloud-native technologies. Attendees will gain practical insights into designing scalable, resilient Edge AI platforms capable of operating reliably across millions of devices.