Databricks is raising the bar on enterprise gen AI developer tools. Today, at its annual data and AI conference, the Ali Ghodsi-led company announced several new enhancements for its Mosaic AI ...
Upgrades to Databricks’ Mosaic AI, a deeper collaboration with Nvidia and the open-sourcing of Unity Catalog are among the biggest updates from Summit 2024. Upgrades to Databricks’ Mosaic AI unified ...
SAN FRANCISCO, Calif., June 12, 2024 – Databricks, the Data and AI company, today announced several innovations to Mosaic AI to help customers build production-quality Generative AI applications.
Databricks Inc. today announced several enhancements to its Mosaic AI toolset for building and deploying artificial intelligence models that specifically target generative AI applications. The ...
As of September 18, 2025, Databricks has added compliance support to its Mosaic AI Vector Search standard endpoints, and they can now be accessed in FedRAMP Moderate and IRAP workspaces. The ...
Amazon Web Services Inc. and Databricks Inc. have signed a five-year deal to help companies cut costs when building and running their artificial intelligence applications. Databricks’ AI service grew ...
Superblocks, the leading platform for secure enterprise application development, is announcing an expanded partnership with Databricks, yielding a native integration between Superblocks’ multi-modal ...
Databricks CEO Ali Ghodsi and Nvidia CEO Jensen Huang announced an expansion of their companies’ partnership at the Databricks Data and AI Summit. I was recently back in San Francisco, attending the ...
Today, Databricks announced the acquisition of Lilac, a Boston-based applied research startup offering tools for data understanding and manipulation. The terms of the deal were not disclosed. The Ali ...
New text-to-image diffusion model enables organizations to generate high-fidelity, trusted images When organizations need high-quality images for their collateral, websites, applications, or campaigns ...
Databricks is investing in Mosaic AI in three key areas: support for building compound AI systems, capabilities to improve model quality, and new AI governance tools. The resulting innovations will ...