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.

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 ...

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

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

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 ...

The business prospect: making it easier for companies to build their own AI agents. The context: Even the most successful AI companies are still working on how to generate revenue that justifies ...

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 ...

Data teams building AI agents keep running into the same failure mode. Questions that require joining structured data with unstructured content, sales figures alongside customer reviews or citation ...

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

Telco vendors are rushing agentic AI into OSS and BSS stacks – hard, at DTW Ignite this week. Nokia has announced work with AWS and Databricks to build the data, cloud, and control layers for ...