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 ...

Databricks Inc. today announced a series of updates to its flagship artificial intelligence product, Agent Bricks, aimed at improving governance, accuracy and model flexibility for enterprise AI ...

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, which offers companies tools for building agents on top of their data, plans to spend at least $100 million over multiple years on OpenAI models. The alliance brings together two of the ...

New capabilities connect enterprise data intelligence with agentic automation to accelerate real-time business outcomes. Dubai, UAE: UiPath (NYSE: PATH), a leader in agentic busin ...

Databricks has announced a launch that signals a shift from generative AI experimentation to production-scale deployment – anchored by two new tools, Lakeflow Designer and Agent Bricks. Both are aimed ...

Using the right model and the right prompt is only part of the enterprise AI challenge, it's also critical to optimize the prompt. The breakthrough in prompt optimization arrives alongside Databricks' ...

Databricks Inc.’s 2026 State of AI Agents report, released today, documents rapid growth in the use of artificial intelligence agents within enterprises but acknowledges that few are deploying the ...

Five years ago, Databricks coined the term 'data lakehouse' to describe a new type of data architecture that combines a data lake with a data warehouse. That term and data architecture are now ...