The data management and analytics company is supplying organizations with ready-made AI agents, minus the hassle.

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

Databricks has launched Agent Bricks, an automated solution designed to facilitate the creation of AI agents tailored to specific business needs. This tool allows users to input a “high-level” ...

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 ...

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With Lakewatch, Databricks presents an open SIEM based on Lakehouse. AI agents are intended to automatically detect and ...

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

Accenture and Databricks are helping global organizations unlock the full potential of their enterprise data and scale ...

The new API is designed to speed up the agent development and testing process so agents can be deployed in production faster. As enterprise demand for building multi-agent systems continues to grow, ...