The Edge Thinks for Itself: Why Analog Is the Last Mile of AI

AI has evolved in stages — and each step demands more from the physical world beneath it. Generative AI creates. Edge AI infers locally. Agentic AI decides and coordinates. Physical AI senses, decides, and acts in real time. At every step up that ladder, the analog burden compounds. That capability lives in the convergence of analog front ends, sensor fusion, embedded processing, and the signal chain connecting them. The more autonomous the system, the deeper that foundation must go.

In this session, Karthi Gopalan, Head of Strategy, Analog Mixed Signal, at Renesas, explores why this convergence is a strategic axis — not an implementation detail. Teams that architect analog, processing, and sensor fusion as one integrated system — designed early and optimized for real-world conditions — will build physical AI that performs in the field. Those that treat them as separate problems will find the gaps at the worst possible moment.

Analog isn't where AI begins. It's where AI becomes real.

This session is part of our “AI at the Edge Day". Registration/event page here.