Ever wondered how your devices can think faster than the cloud?
In this session, we’ll fire up the engines on Edge AI and show how combining AI with IoT devices can transform them into smart, instant problem-solvers.

I’ll start by explaining what running AI on the edge means. Basically, it’s about placing intelligence closer to where data is created, whether it’s inside a factory machine or a surveillance camera. The result? Lightning-fast decisions without needing to send data up to the cloud.
Imagine a quality control sensor that flags a product defect the moment it occurs, or a drone that navigates and analyzes the exterior of a plane. We’ll walk through real-world use cases like these, where AI on the edge has been implemented.

You’ll learn how technologies like Azure Foundry Local enables you to run tiny models on resource-constrained edge devices, and how to run ML models on a device on the shop floor. I’ll also share practical tips and tricks from the field.

Whether you’re working with industrial IoT or just curious about making gadgets smarter, this session will spark ideas on harnessing AI right where the action is. By the end, you’ll see that any IoT device, from a factory robot to your smart thermostat can get an IQ boost. Ready to bring intelligence to the edge? Join me and see how AI can make IoT instantly responsive!