“Doing more with less” is a trending enterprise motto, keeping artificial intelligence a key focus for businesses.

“I think a lot of the challenges that we’ve helped our customers address with supercomputing, some of the same concerns are starting to pop up now as they’re looking at artificial intelligence,” George explained. “The good news is a lot of these aren’t new challenges. We know how to manage them at scale, and I think that’s what really matters.”

George and Andrew Wheeler (right), HPE fellow and director of Hewlett Packard Labs, spoke with theCUBE industry analysts Savannah Peterson and John Furrier at SC23, during an exclusive broadcast on theCUBE, SiliconANGLE Media’s livestreaming studio. They discussed how AI is changing the stakes in the enterprise world and how HPE is working to solve increasing challenges. (* Disclosure below.)

AI scales intellect

For enhanced productivity, AI will continue augmenting human capability, not replacing it, according to Wheeler. As a result, different sectors and markets will see the opportunity that AI brings to their doorsteps.

“AI is not going to replace that scientist, or that teacher, or that publisher, but the flip side of that, the teacher, scientist that uses AI will replace those that don’t,” Wheeler said. “Getting back to one of those areas where AI is going to make a difference, we’re working on two projects in partnership with the Department of Energy related to applying AI.”

AI is being deployed across every vertical, because the bigger picture is solving business problems and ensuring that things move faster. As a result, maximizing satisfaction rates is at the heart of AI, since it cuts across different use cases, according to George.

“What I’m finding, just generally, is when it comes to industries, they’re trying to get to the rightest answer as fast as possible,” he said. “There are doctors that are working on looking at X-rays, and all sorts of tests that need answers for patients right now. I think the industry is looking at artificial intelligence less about a robotic thing that’s sitting back in a data but more of how can I serve my end customer faster?”

As foundational and large language models spring up, the burning question becomes how to manage the data. HPE tackles this issue by seeing it as a convergence of high-performance computing and AI, according to Wheeler.

“If I’m going to do something like a large language model, I have to produce that model,” he said. “There’s a certain system, certain data management, certain development platform that goes along with doing that training. Then you have another phase that may be the personalized tuning, maybe it’s language specific or geo-specific. The inference part has its own system architecture and requirements. The great thing about HPE as a company is that we’re working across the breadth of that entire training, tuning, inference, progression.”

Here’s the complete video interview, part of SiliconANGLE’s and theCUBE’s coverage of SC23:

(* Disclosure: TheCUBE is a paid media partner for SC23. Neither Dell Technologies Inc., the main sponsor of theCUBE’s event coverage, nor other sponsors have editorial control over content on theCUBE or SiliconANGLE.)

Photo: SiliconANGLE