The AI life cycle is fast, but Red Hat’s staying ahead of the curve

Artificial intelligence is constantly evolving, and companies worldwide are trying to stay on top of the large language model life cycle.

Red Hat Inc.’s Latin American division aims to harness the region’s potential by filling a skill gap in AI. The company has continued to follow an open-source ethos that fosters collaboration and mutual growth.

“It provides a moment for this region [Latin America] to leapfrog,” said Maria Bracho (pictured), chief technology officer for Latin America at Red Hat. “To take on and learn new things and then be again, ahead of the curve or at least catching to the curve when it comes to understanding and having more AI skills, to apply all these new technologies that we’re shipping into results that are practical for people and change lives.”

Bracho spoke with theCUBE’s Rebecca Knight and Rob Strechay at Red Hat Summit, during an exclusive broadcast on theCUBE, SiliconANGLE Media’s livestreaming studio. They discussed Red Hat’s AI strategy, including its focus on building regional skills, fostering ethical and transparent data practices, and supporting evolving models through the open-source community.  (* Disclosure below.)

Catching up with the life cycle of AI

The AI sector is experiencing rapid growth since models cycle through faster than traditional applications. Data management is also of critical importance, with Red Hat looking to gain users’ trust when it comes to models that process sensitive information.

“We’re handling privileged information,” Bracho said. “There’s a lot of focus on making sure that is ethical, that we’re handling the data correctly and that we know what’s coming out. I think that one of the biggest things is just realizing that it’s not an input-output scenario, but these AI use cases and examples in the public sector, they have a life cycle of their own.”

Companies should not stress too much about which model they pick, because AI technology will continue to change, Bracho advises. Red Hat is focused on supporting evolving models through the open-source community and providing users with clarity on the models themselves.

“If we start relying on AI or start relying on agents in the same way that we rely on a Google search to give us answers, we’re really missing the point,” she said. “We want to be able to know exactly what’s happening in the technology. We really need to understand and make sure that it’s transparent how the entire stack is working so you can essentially explain how things are happening.”

Here’s the complete video interview, part of SiliconANGLE’s and theCUBE’s coverage of Red Hat Summit:

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

Photo: SiliconANGLE