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 ...

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 ...

Big-data analytics company Databricks Inc. is sharpening its focus on artificial intelligence workloads, announcing today a major update to its Unified Analytics Platform that should help to unlock ...

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 ...

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 ...

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 ...

What we call machine learning can take many forms. The purest form offers the analyst a set of data exploration tools, a choice of ML models, robust solution algorithms, and a way to use the solutions ...

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 ...

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 ...

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 ...