Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now Today, Databricks announced the acquisition ...
Data lakes have sprung up everywhere as organizations look for ways to store all their data. But the quality of data in those lakes has posed a major barrier to getting a return on data lake ...
Lilac AI’s suite of products when integrated with Databricks could help enterprises explore their unstructured data and use it to build generative AI applications. Data lakehouse provider Databricks ...
Alation, Inc., the data intelligence company, is deepening its integration with Databricks to offer trusted data for AI initiatives to the enterprise—strengthening the partnership through the Alation ...
Continuing its quest to make freeform data lakes a viable alternative to highly structured data warehouses, Databricks Inc. today debuted an engine that enables many workloads previously targeted at ...
Upgrades to Databricks’ Mosaic AI, a deeper collaboration with Nvidia and the open-sourcing of Unity Catalog are among the biggest updates from Summit 2024. Upgrades to Databricks’ Mosaic AI unified ...
Databricks CEO Ali Ghodsi and Nvidia CEO Jensen Huang announced an expansion of their companies’ partnership at the Databricks Data and AI Summit. I was recently back in San Francisco, attending the ...
SAN FRANCISCO, Calif., June 12, 2024 – Databricks, the Data and AI company, today announced several innovations to Mosaic AI to help customers build production-quality Generative AI applications.
The enterprise data landscape is undergoing a fundamental shift as the importance of unstructured data grows in parallel with the rise of generative AI and agentic workflows. Data platforms are ...
Today, Databricks announced the acquisition of Lilac, a Boston-based applied research startup offering tools for data understanding and manipulation. The terms of the deal were not disclosed. The Ali ...
Results that may be inaccessible to you are currently showing.
Hide inaccessible results
Feedback