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 ...

SAN FRANCISCO, June 06, 2017 (GLOBE NEWSWIRE) -- Databricks, the company founded by the creators of the popular Apache Spark project, today anno ...

With Databricks Machine Learning, new and existing ML capabilities on the Databricks Lakehouse Platform are integrated into a collaborative, purpose-built experience that provides ML engineers with ...

Who needs rewrites? This metadata-powered architecture fuses AI and ETL so smoothly, it turns pipelines into self-evolving ...

To fix this, Databricks is introducing a new machine learning toolkit called “MLflow,” which is designed to help companies better package machine learning code, execute it and test it, 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 ...

The testing found that the latter delivers 1.92x, 2.12x, and 2.24x inference performance on Databricks Runtime for Machine Learning with Standard_F32s_v2, Standard_F64s_v2, and Standard_F72s_v2 ...

Databricks Simplifies Machine Learning Model Management At Scale With MLflow Model Registry. MLflow, With More Than 140 contributors And 800K Monthly Downloads, ...

Databricks, the Silicon Valley-based startup focused on commercializing Apache Spark, has developed MLflow, an open source toolkit for data scientists to manage the lifecycle of machine learning ...