Nasdaq consolidated enterprise and market data on Databricks to improve governance, speed product development and support AI ...

Data lakehouses offer a solid footing, but when agents access the data autonomously, enterprises need to consider security, ...

Data plaform Databricks is pushing further into the marketing industry with the launch of customer data platform CustomerLake.The announcement: Databricks Enters the Marketing Industry with ...

While other AI startups have started the IPO process this year, Databricks is looking toward its next funding round.

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

As enterprises rush to build AI agents that can reason over business data and take action, Databricks argues that the long-standing practice of separating operational and analytical data systems is ...

Un0 is an image-generation system tool that shows for the first time how the company's technology can replicate conventional ...

Context graphs, graph memory, and ontologies for AI are converging. What does this mean for enterprise AI in 2026?

Marketplacer has expanded its collaboration with Snowflake's AI Data Cloud to bring AI-driven marketplace automation and ...

Naveen Rao's Unconventional AI raised $475M at a $4.5B valuation to build biology-inspired, energy-efficient chips for ...