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 ...

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.

Many enterprises running PostgreSQL databases for their applications face the same expensive reality. When they need to analyze that operational data or feed it to AI models, they build ETL (Extract, ...

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 ...

Founder of Celebal Technologies, shares how the company has developed production-ready frameworks for the manufacturing ...

Dataiku, the Platform for AI Success, today announced the launch of Dataiku Cobuild, an AI building agent that enables any enterprise team to turn a business objective into a governed, ...

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 ...

New Delhi: Tata Power is pushing deeper into AI and data, and this time it is not just a pilot or small rollout. The company has announced a full enterprise-wide move to the Databricks platform, ...

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 ...