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

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 ...

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.

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 ...

Databricks and Snowflake are at it again, and the battleground is now SQL-based document parsing. In an intensifying race to dominate enterprise AI workloads with agent-driven automation, Databricks ...

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 ...

Hi team/ maintainers, I love the work you're doing on Data API Builder. We’ve adopted it in different areas because it gives us a unified, secure, and standards-based API layer on top of multiple data ...

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, ...

One of the main reasons Nano Banana has become so popular is its ability to generate image variations while maintaining consistency in elements that you wish to keep unchanged. For example, I asked it ...