Despite cloud’s growing dominance, the ongoing artificial intelligence boom is giving rise to hybrid data management.

Cloudera Inc. looks to capitalize on this trend by bringing data to customers on-premises and in the cloud, as well as harnessing AI to offer business insights.

On the set with theCUBE for Cloudera Evolve24.

“They are trying to represent themselves as the hybrid data management system and recognizing the fact that modern IT environments are highly distributed,” said Bob Laliberte, principal analyst at theCUBE. “What we’re seeing is Cloudera coming out and putting together a hybrid solution that enables organizations to get the compute to where the data is and enable organizations to accelerate their insights either from analytics or AI.”

TheCUBE Research’s Bob Laliberte and co-host Rebecca Knight discussed Cloudera’s response to the rise of AI at the Cloudera Evolve24 event during an exclusive broadcast on theCUBE, SiliconANGLE Media’s livestreaming studio. (* Disclosure below.)

Finding company-specific insights with hybrid data management

The AI boom has caused a lot of anxiety among consumers, who fear their jobs being replaced by AI. However, Cloudera’s message is that a human touch is still needed during the AI process, a balancing act that Knight characterizes as complex.

“There is a need often for a human in the loop,” she said. “The question is, where? And I think that companies will have to do trial and error and have to figure out [and] do research on when and where we combine humans in AI. There are certain tasks that organizations do … to get work done that are about generating content [and] generating ideas and solutions. Bringing together the robots with the workers is sometimes really exciting and sometimes doesn’t work as well when the robots [are] just working on their own and the humans [are] working on their own.”

Cloudera’s partnership with Nvidia on its microservices (NIMs) and its development of advanced machine learning prototypes bodes well for the company’s future, according to Laliberte. He emphasizes that success will come from Cloudera using a hybrid data management model to give customers valuable insights about their businesses.

“One of the things that came out in the keynotes [is that] they were talking about the efficacy of a lot of these models and how the large language models are great at getting you to 80% or 85%, but in order to really get you past that, you need to leverage specific data,” Laliberte said. “Much of that specific data is only available in the company itself. And so, they’re able to go in and extract, [to] not only leverage the large language models and data that’s available in the cloud, but also get that key corporate data that’s really going to help move the needle from 85% to 95% to 100%.”

Here’s the complete video interview, part of SiliconANGLE’s and theCUBE Research’s coverage of the Cloudera Evolve24 event:

(* Disclosure: TheCUBE is a paid media partner for the Cloudera Evolve24 event. Neither Cloudera, the sponsor of theCUBE’s event coverage, nor other sponsors have editorial control over content on theCUBE or SiliconANGLE.)

Photo: SiliconANGLE