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 ...

Databricks continues to expand its portfolio of big data software around the Databricks Lakehouse Platform – all designed to unify all data, analytics and AI workloads. Databricks has launched a ...

The integration between WTW Radar and Databricks enables Radar to access data by selecting Databricks as a data source and to retrieve data straight from the Databricks Data Intelligence Platform in a ...

SAN FRANCISCO--(BUSINESS WIRE)--Databricks, the leader in unified data analytics, has been named by Gartner as a Leader in the 2020 Magic Quadrant for Data Science ...

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 ...

AMSTERDAM and SAN FRANCISCO, Oct. 16, 2019 – Databricks, the leader in unified data analytics, today announced Model Registry, a new capability within MLflow, an open-source platform for the machine ...

Databricks Inc., the big-data and machine learning company that leads the commercial development of Apache Spark, today put its MLflow project into the hands of the Linux Foundation. MLflow is a ...

Databricks today unveiled a new cloud-based machine learning offering that’s designed to give engineer everything they need to build, train, deploy, and manage ML models. The new offering is designed ...