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 ...

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 ...

SAN FRANCISCO--(BUSINESS WIRE)--Databricks, the leader in unified data analytics, today announced an accelerated path for data teams to unify data management, business intelligence (BI) and machine ...

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 ...

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 and Machine Learning Platforms. The ...

Databricks is buying Tecton, a machine learning startup backed by Sequoia Capital and Kleiner Perkins, as part of its plan to build out full-scale AI tools for large companies. The deal was confirmed ...

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 ...

The ability to anticipate what comes next has long been a competitive advantage -- one that's increasingly within reach for developers and organizations alike, thanks to modern cloud-based machine ...

In 2026, Azure Machine Learning has evolved from a sandbox for data scientists into a robust platform for operational forecasting, yet many teams still struggle to see what happens after deployment.