Data lakehouse provider Databricks is introducing four new updates to its portfolio to help enterprises have more control over the development of their agents and other generative AI-based ...

Four months after its last funding round, Databricks Inc. today announced that it has closed an extremely late-stage investment worth more than $4 billion. The Series L round was jointly led by ...

Databricks and Snowflake are at it again, and the battleground is now SQL-based document parsing. In an intensifying race to dominate enterprise AI workloads with agent-driven automation, Databricks ...

As everyone from OpenAI co-founder Sam Altman to armchair economists debate whether we’re in an AI bubble, Databricks’ latest fundraising effort suggests at least some investors are still willing to ...

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 ...

Until now, access to the Databricks platform was primarily limited to engineers and data scientists with SQL or Python skills. Databricks One introduces a completely redesigned interface, simplified ...

Databricks is in the process of closing a fresh round at a $100 billion valuation, sources confirmed to TechCrunch. The round was originally reported by the Wall Street Journal. A source familiar with ...

Databricks Inc. has acquired Lilac AI Inc., a startup with a tool that helps developers manage the text datasets they use in artificial intelligence projects. The companies announced the deal today ...

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 ...

CISOs know precisely where their AI nightmare unfolds fastest. It's inference, the vulnerable stage where live models meet real-world data, leaving enterprises exposed to prompt injection, data leaks, ...