The two sets of tools will help enterprises address security concerns while supporting data management, the software company said.

Sourcing the power to feed large language models is a growing concern as AWS, Microsoft and Google Cloud embark on a data center building boom.

Open source has entered the AI model lexicon, creating a gray area around what it means in the context of large language models.

As AI-powered tools gain enterprise traction, CIOs are working to better understand limitations and mitigate risk.

"You don’t save the cost of moving to the cloud until you shut the mainframe down,” CFO Mike Leskinen said Wednesday.

Workers can take a variety of courses, such as AI fundamentals and specialized training around ethical and responsible use of AI tools at work.

IT service providers are investing heavily in semiconductors and servers to support large-scale projects and provide infrastructure support for AI's capacity demands.

The Linux Foundation's umbrella group for AI and data is working to build and drive open-source AI innovation through frameworks, architecture blueprints and solutions.