January was a huge month for data lake-focused companies' funding. Now that we've ticked over into February, it looks like the data "lakehouse" is getting its due as well. Databricks, the company ...

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

AIStor Table Sharing reflects how enterprises actually operate today: multi-format, hybrid, and at massive scale. By supporting both Delta and Apache Iceberg (TM) tables, MinIO avoids locking ...

Databricks and Tonic.ai have partnered to simplify the process of connecting enterprise unstructured data to AI systems to reap the benefits of RAG. Learn how in this step-by-step technical how-to.

Resilinc, the leading provider of agentic AI-driven supply chain risk and compliance intelligence, today announced it has architected its platform on the Databricks Platform to power large-scale, ...

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 ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Databricks and Hugging Face have collaborated to introduce a new feature ...

Databricks, the lakehouse company, is launching Databricks Model Serving, a solution aiming to streamline the management and scaling of production machine learning (ML) within the Databricks Lakehouse ...

Add Yahoo as a preferred source to see more of our stories on Google. Ali Ghodsi, co-founder and chief executive officer of Databricks Inc., speaks during a Bloomberg Technology television interview ...

Ali Ghodsi, co-founder and chief executive officer of Databricks Inc., speaks during a Bloomberg Technology television interview in San Francisco, California, U.S., on Tuesday, Oct. 22, 2019. Ghodsi ...

If you wanted to raise the profile of your major tech company and had $10 million to spend, how would you spend it? On a Super Bowl ad? An F1 sponsorship? You could spend it training a generative AI ...