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 ...
Lakeflow Designer and Agent Bricks technology unveilings for building data pipeline workflows and AI agents, respectively, are on tap at Wednesday’s Databricks Data + Summit. With new technologies for ...
A top data science implementation company is teaming up with OpenAI to create a new way for enterprise users to build artificially intelligent agents. The Databricks Agent Brick, deployed on 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 ...
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 ...
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Databricks and OpenAI redefine enterprise AI agents
Databricks now offers native access to OpenAI’s GPT-5, enabling enterprises to build secure, domain-specific AI agents directly on their data. Combined with Agent Bricks, vector search, and unified ...
The zero-copy credential model enables cross-platform sharing of AI assets, promising lower overhead, stronger governance, ...
Databricks Inc.’s 2026 State of AI Agents report, released today, documents rapid growth in the use of artificial intelligence agents within enterprises but acknowledges that few are deploying the ...
Databricks launched Lakebase today, a new database designed for enterprises and developers to build data applications and artificial intelligence agents on a single multi-cloud platform. Lakebase is ...
With an overflowing war chest from its $5 billion raise that closed last month (not to mention billions in revenue), Databricks is acquiring. The company, best known for its cloud data analytics ...
Many enterprise AI agent development efforts never make it to production and it's not because the technology isn't ready. The problem, according to Databricks, is that companies are still relying on ...
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