Schneider Electric Highlights Software’s Role In AI Readiness At The Edge

Artificial intelligence is no longer confined to hyperscale data centers. At Schneider Electric’s Innovation Summit in Las Vegas, Jon Gould, director of software business development, described how software is becoming the backbone of AI readiness as deployments move to the edge — a shift that will redefine infrastructure strategies for partners and customers alike.

“AI has probably changed our industry more than anything since virtualization,” Gould said. He pointed to tools such as digital twins, monitoring and asset audits as essential for planning. “You can leverage it, whether that’s through a digital twin or monitoring or asset audits, [to] really understand: Are you ready for AI, what it’s going to take to get there.”

The move to edge computing will bring new challenges. “In the next two years you’re going to see AI move to the edge. So that means much more power, much more cooling requirements at the edge, and really you’re going to see the need for better software tools,” Gould said.

Digital twins, he added, allow organizations to model and simulate changes before they happen. “Digital twin is really a digital model of the real-world environment…you build your model, take in live data, and then that enables you to go through and make any of those simulations that you choose to.”

For solution providers, these capabilities represent an opportunity to deliver smarter, more resilient deployments and reduce risk for customers.

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