Clients across industries, such as Albertsons, BASF, and Kyowa Kirin International are working with Accenture and Databricks to build agent-ready databases and AI applications on their enterprise data ...

Databricks has outlined a reference architecture for a multi-agent AI system, named AiChemy, that combines internal enterprise data on its platform with external scientific databases via the Model ...

Databricks just announced new financials, revealing more about the real productivity impact of AI agents. Of the databases on Databricks' platform, 80% are now being built by AI agents, not people.

Data teams building AI agents keep running into the same failure mode. Questions that require joining structured data with unstructured content, sales figures alongside customer reviews or citation ...

The launch of Genie Code, analysts say, signals Databricks’ growing ambition to turn its lakehouse platform into the environment where enterprise AI systems build, run, and manage data workflows.

The phrase “ghost in the machine” once described a philosophical paradox about consciousness and the human mind. Today, it ...

Investors are aggressively courting AI researchers to build startups that can make AI more reliable and efficient. Yu Su, an Ohio State professor leading an AI agent lab, said he initially resisted ...

Tata Power on April 9 announced a partnership with Databricks to roll out an enterprise-wide data and artificial intelligence (AI) platform, as the Tata Group company looks to sharpen operational ...

The Palo Alto startup, spun out of Ohio State University by Yu Su, argues that current agents complete tasks as intended only half the time, a reliability gap it plans to close by giving agents a ...