Edge AI is not a new phenomenon. This session will show how models for video, audio, and sensor data run on devices close to where data is created. The result is faster response, better privacy, and steadier cost. The cloud still matters for training and fleet insight, but the moment-to-moment work happens on the device.

We’ll walk a full path from idea to production. Start with a model that fits your hardware. Trim it, test it, then measure real workloads. Deploy to what you already own or to dedicated edge gear.

You leave with a playbook that you can repeat. Pick, prepare, test, ship, observe, improve. No lock-in. No mystery. Just a clear way to move intelligence out of the data center and into the real world.