Organizations can improve performance and reduce costs by replacing the stock Databricks Runtime for Machine Learning libraries with versions optimized by Intel. Here’s how to get started. Getting the ...

Collaborative platform delivers a streamlined way for organizations to standardize the full data and machine learning lifecycle at any scale with powerful AutoML capabilities and new ML Feature Store ...

Data analytics developer Databricks Inc. today announced the general availability of Databricks Model Serving, a serverless real-time inferencing service that deploys real-time machine learning models ...

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 ...

Databricks has added FedRAMP Moderate and IRAP compliance support to Mosaic AI Vector Search standard endpoints, enabling ...

Databricks customers can now run their machine learning models directly from the vendor’s platform, eliminating the need to manage and maintain separate infrastructure for ML workloads like product ...

Move comes as Snowflake and Databricks chase the same all-in-one analytics dream Google is promising a single notebook environment for machine learning and data analytics, integrating SQL, Python, and ...

Databricks’ Delta Sharing will enable ServiceNow to offer Zero Copy, high-bandwidth, bi-directional, and secure integration with the Databricks Data Intelligence Platform so customers can turn data ...

MSH, a global provider of technology and talent solutions, today announced partnerships with Databricks and Informatica, two powerful machine learning and enterprise cloud data management companies ...

Databricks will acquire machine learning startup Tecton to expand its AI agent offerings, the latest in a string of deals aimed at offering full-scale AI building tools for enterprise customers.