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 ...

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, 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 Analytics and original creators of Apache Spark, today announced that its Unified Analytics Platform now offers automation and ...

Big-data company Databricks Inc. is hoping to empower so-called citizen data scientists to create their own machine learning models with new “Automated Machine Learning” capabilities in its Unified ...

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 ...

For most professional software developers, using application lifecycle management (ALM) is a given. Data scientists, many of whom do not have a software development background, often have not used ...

Last year, organizations around the world, across all industries, were forced to leverage new technologies on multiple fronts to accommodate a new normal. The adoption of AI and machine learning saw ...

Nearly seven years after its debut as a preview, the Visual Studio Code extension for Azure Machine Learning has hit general availability. "You can use your favorite VS Code setup, either desktop or ...

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.