Databricks on Tuesday launched Model Serving, a tool that enables users to deploy machine learning models as REST APIs on the vendor's lakehouse platform and eliminates the need to manage a serving ...
Databricks Inc. today introduced two new products, LakeFlow and AI/BI, that promise to ease several of the tasks involved in analyzing business information for useful patterns. LakeFlow is designed to ...
Databricks is once again aiming to improve the accuracy of data retrieval systems for AI. In January, Databricks launched Instructed Retriever, an alternative to the traditional retrieval-augmented ...
Continuing a deluge of announcements clustered around making it easier for enterprises to build artificial intelligence-based agents and applications, Databricks Inc. today is wrapping up its Data+AI ...
Until now, access to the Databricks platform was primarily limited to engineers and data scientists with SQL or Python skills. Databricks One introduces a completely redesigned interface, simplified ...
Databricks is releasing MLflow 2.0, building upon MLflow's strong platform foundation and incorporating extensive user feedback to simplify data science workflows and deliver innovative, first-class ...
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 ...
AI success depends on whether enterprise data is ready, reachable, and close enough to the workloads that need it. In this eSpeaks episode, Dell Technologies’ Vrashank Jain explains why fragmented ...
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