The drive to move processing to the Edge, where data is collected, has been ongoing for decades, but the rise of AI tools has made intelligence at the Edge a mission-critical development path for any industrial enterprise.

The demand for modern, rugged computing solutions for industrial automation and machine vision applications is increasing. These advancing applications, deployed in robotics and factory environments, require robust performance, wide operating temperature ranges, reliable networking, flexible storage, and acceleration for AI workloads.

As industrial robotics rapidly grows ever smarter and more autonomous, these modern systems are evolving to have heavier reliance on advanced AI technologies.

Modern industrial edge environments are increasingly tasked with managing expansive AI workloads that require real-time access to data, without relying on the cloud. These advanced workloads need AI acceleration capable of real-time image recognition, object detection, and intelligent decision-making at the edge.

Patrick Hopper interviews Maurizio Caporali with Seco at the Intel booth at embedded world 2025.

Patrick Hopper interviews Ralph Wittmann with Siemens at the Intel booth at embedded world 2025.

Patrick Hopper interviews Arun Kumar with Siemens at the Intel booth at embedded world 2025.