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 ...

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, 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 ...

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 ...

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

Forbes contributors publish independent expert analyses and insights. Victor Dey is an analyst and writer covering AI and emerging tech. This voice experience is generated by AI. Learn more. This ...