Databricks Inc. today announced several enhancements to its Mosaic AI toolset for building and deploying artificial intelligence models that specifically target generative AI applications. The ...

In this session of our Azure Databricks Training series, we’ll teach you how to connect directly to data sources like TCP/IP sockets and the Kafka messaging system, transform and output data, and ...

In this session of our training series, we’ll show you how you can use MLlib with Azure Databricks to train your own models, run replicable experiments, and deploy into production with fewer failing ...

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

Accenture and Databricks expand their partnership to help enterprises scale AI applications and agents using unified data ...

Working with a certified implementation partner is a risk mitigation strategy that ensures the Lakehouse is not only deployed but also optimized for scalability, security, and cost efficiency from day ...

April 12 (Reuters) - Databricks, a San Francisco-based startup last valued at $38 billion, released a trove of data on Wednesday that it says businesses and researchers can use to train chatbots ...

The new Accenture Databricks Business Group, tasked with expanding customer use of the Databricks platform for a broad range of AI tasks, is the latest expansion of the strategic alliance between the ...

Enterprise AI keeps hitting the same wall - not enough people who know how to use it. Databricks is spending $10 million to fix that constraint in the UK, but the real question is whether vendor-led ...

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 ...