Data management at the forefront of Dell’s AI services – SiliconANGLE

Saying that artificial intelligence has complicated the world of data management would be an understatement.

Companies are being forced to reckon with their previous data management policies and update them to match the demands of large language models. Dell Technologies Inc. aims to support customers in that journey.

“People have been storing data for a long time and they have been doing what they felt was necessary,” said Geeta Vaghela (pictured), senior director of product management, Unstructured Data Solutions, at Dell. “But data management takes a lens beyond infrastructure into data. What is it and where are you using it and why does it matter? I don’t know that everyone’s been doing that. There’s a section of the market who are … starting with a clean sheet of paper.”

Vaghela spoke with theCUBE Research’s Dave Vellante and Savannah Peterson at SC24, during an exclusive broadcast on theCUBE, SiliconANGLE Media’s livestreaming studio. They discussed Dell’s history with data storage and current trends in the industry. (* Disclosure below.)

How AI is changing data management

Adding to the complexities of setting up a modern data storage infrastructure are security requirements and government regulations. The Dell Data Lakehouse is one of several solutions the company offers for data-intensive AI workloads.

“There’s compliance and governance and all these things that many organizations, the government, have to comply to,” Vaghela explained. “I think we’re just now starting to scratch the surface on what does that mean? And how do you quickly get yourself ready so that you’ve got the data, these GPUs that are either on their way to you or have been delivered. It’s a really, really interesting time where people are asking hard questions about storage and data management.”

Dell also announced the Dell AI Factory with Nvidia Corp., with the goal of driving AI innovation and productivity. The portfolio of solutions allows customers to extract metadata about their organization and produce accurate AI models.

“Your metadata comes from one engine,” Vaghela said. “The biggest thing that I’m seeing is how do we use a selection of toolsets and bring them together such that we’re providing a full workflow … but also do it in a way that the sum total gives a repeatable model that many of these companies can stand behind because otherwise we get into hallucinations.”

Although there are a variety of vertical trends for AI applications, including life sciences and autonomous driving, many of the challenges are the same, according to Vaghela. Dell offers additional AI implementation services to its customers, especially those just getting into data management.

“What Dell does is we validate those solutions, we’ve got a point of view on where the strengths are, what to consider,” she said. “And for those that are early in the journey, there’s professional service opportunities.”

Here’s the complete video interview, part of SiliconANGLE’s and theCUBE Research’s coverage of SC24:

(* Disclosure: Dell Technologies Inc. sponsored this segment of theCUBE. Neither Dell nor other sponsors have editorial control over content on theCUBE or SiliconANGLE.)

Photo: SiliconANGLE