

Companies are positioning artificial intelligence to exist in tandem with data, turning enterprise AI deployment into a new corporate arms race. What was once theoretical has now become urgent, as data centers reinvent themselves to meet surging demand.
That urgency is driving enterprises past proof of concept trials and into production at scale. Coding assistants offer a useful entry point, but the real frontier lies in applying AI to complex problems that outstrip automation alone. Those challenges demand a new relationship between people and machines, according to Mindy Cancila (pictured), vice president of corporate strategy at Dell Technologies Inc.
Dell’s Mindy Cancila discusses enterprise AI deployment with theCUBE’s Dave Vellante.
“We’re evolving from AI being sort of a tool that would do something very specific and targeted … into leveraging AI as a thought partner,” she said. “And that thought partner is going to be in your data center, it’s going to be at the edge, and it’s going to be all across all of your devices.”
Cancila spoke with theCUBE’s Dave Vellante at theCUBE + NYSE Wired: AI Factories – Data Centers of the Future event, during an exclusive broadcast on theCUBE, SiliconANGLE Media’s livestreaming studio. They discussed how enterprise AI deployment is redefining infrastructure and long-term value.
Firms are learning the hard way that enterprise AI deployment is far more than just plugging in a model. It means putting together a comprehensive architecture out of an overwhelming mix of systems, according to Cancila.
“AI is super complex, and this isn’t just an application for leveraging a data set, it’s all of these things stitched together,” she said. “It’s compute, it’s storage, it’s multicloud, it doesn’t live in a singular data center. These models are moving so quickly.”
That speed of change is now one of the greatest challenges for enterprises. Each new generation of models brings eye-popping projection for growth but also a set of difficult choices for IT leaders to navigate. Many companies are still struggling to keep up with the flood of new capabilities, echoing the early cloud era when services arrived faster than IT teams could absorb, Cancila explained.
“It reminds me back to my cloud days when customers used to say, ‘There’s a new service every time I turn around, and I don’t know that I want to move to adopt these new services,’ or, ‘There are so many that it’s complex for me to know where to even get started,’” she said. “A lot of the work that we’re doing within AI Factory is learning from the things we’ve applied ourself … and taking those solutions and bringing them to our customers in a more streamlined way. That’s what the AI Factory is really all about.”
Here’s the complete video interview, part of SiliconANGLE’s and theCUBE’s coverage of theCUBE + NYSE Wired: AI Factories – Data Centers of the Future event:
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