In an increasingly fast-paced industrial world, real-time monitoring and supervision demand fast response times and local data processing. This is where embedded AI makes the difference — bringing intelligence directly into machines and edge devices along the production line.

Limited computing power on these devices requires lean, adapted versions of traditional AI methods. That’s why smart algorithm design is key.

In this session, we’ll explore how embedded AI boosts efficiency by refining data on-site, automating complex processes, and enabling faster, smarter decisions — all within tight hardware constraints.

We’ll also address integration challenges and share practical examples that show embedded AI in action — and the tangible gains it delivers for industrial productivity.