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

The company’s latest product brings vibe-coding to the data layer of enterprise data systems. AI coding agents have become one of the fastest-growing categories in enterprise software. In the span of ...

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

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

Databricks provides tables designed for massive scale, enabling efficient storage and querying of tens of billions of triples with features like time travel No ETL or migration needed—just query your ...

When you launch a new product, your vision for its use might differ from how customers actually use it. Ivar Jacobson created the first use case model in 1987 while working at Ericsson. It started as ...

This was originally posted in dbt-databricks project and I was asked to cross post i here. Related to: databricks/dbt-databricks#1246 When running dbt in an Azure Devops Agent (for continues ...

Forbes contributors publish independent expert analyses and insights. Dr. Legatt explores the intersection of education, AI, and leadership. The clearest signal yet that artificial intelligence has ...

Choosing between Microsoft Dataverse and Microsoft SQL Server resulted in us having to decide between two good options. Microsoft Digital stories Editor’s note: This story was created with the help of ...

Vinish Kapoor is an Oracle ACE Pro, software developer, and founder of Vinish.dev, known for his expertise in Oracle. Vinish Kapoor is an Oracle ACE Pro, software developer, and founder of Vinish.dev, ...