By integrating Quotient’s evaluation and reinforcement‑learning tech, Databricks hopes to address a growing CIO challenge: ...

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

Silicon Valley, CA, March 05, 2026 (GLOBE NEWSWIRE) -- Resilinc, the leading provider of agentic AI-driven supply chain risk and compliance intelligence, today announced it has architected its ...

Databricks Inc. today introduced Genie Code, an artificial intelligence agent designed to automate complex data engineering and analytics tasks. The move extends the rapid evolution of agents from ...

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 ...

Choosing the right data platform is critical for the modern enterprise. These platforms not only store and protect enterprise data, but also serve as analytics engines that source insights for pivotal ...

San Francisco-based software company Databricks Inc. said Tuesday it has raised $8.6 billion out of a $10 billion targeted fundraising in private markets as the latest example of why some major ...

Legendary investor is still undecided about the AI bubble but the technology is revolutionary, he thinks. He believes AI has ...

Amanda Smith is a freelance journalist and writer. She reports on culture, society, human interest and technology. Her stories hold a mirror to society, reflecting both its malaise and its beauty.

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