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 enhances its AI platform with the AI agent Genie One, which is intended to make company data usable thanks to the new context layer Ontology.

One of the latest initiatives focuses on enabling AI agents to interact more effectively with telecom data and operational ...

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 ...

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 ...

Databricks says new products LTAP and Lakehouse//RT unify transactional and analytical data for AI agents, delivering sub-100ms latency and no ETL pipelines.

Major enterprise platform companies are racing to build tools for a new class of users: artificial intelligence agents. One example of this was apparent today with the latest releases from Databricks ...

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 introduces Lakehouse//RT, a real-time analytics engine for Delta Lake and Apache Iceberg tables, to replace specialized real-time databases.