Databricks' KARL agent uses reinforcement learning to generalize across six enterprise search behaviors — the problem that breaks most RAG pipelines.

Resilinc, the leading provider of agentic AI-driven supply chain risk and compliance intelligence, today announced it has architected its platform on the Databricks Platform to power large-scale, ...

Databricks Inc. today announced the general availability of Zerobus Ingest, a new serverless service within its Lakeflow Connect suite that simplifies and accelerates real-time data ingestion into the ...

Databricks said it raised $5 billion in funding and $2 billion in new debt capacity at a $134 billion valuation. The company also said its annualized revenue exceeded $5.4 billion for the January ...

Company plans to use funds to accelerate AI database, Genie assistant JPMorgan Chase leads $2 billion debt financing Databricks' AI products cross $1.4 billion in annualized revenue Feb 9 (Reuters) - ...

Data and AI company Databricks said it has completed $5 billion of new equity financing and secured about $2 billion of additional debt capacity, lifting total new investments to more than $7 billion ...

San Francisco-based data and AI focused firm Databricks noted this past week that it has delivered steady results, announcing them this past week.

Japanese automakers Mazda and Toyota, among other brands, have been working hard on furthering efficiency without sacrificing performance or power. The SkyActiv engine was introduced in 2010 and ...

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Databricks has released KARL, an RL-trained RAG agent that it says handles all six enterprise search categories at 33% lower cost than frontier models.