Databricks is releasing MLflow 2.0, building upon MLflow's strong platform foundation and incorporating extensive user feedback to simplify data science workflows and deliver innovative, first-class ...

MLflow is a Databricks open source project that's integrated into UDAP but available on an open source basis for integration with other platforms. MLflow helps with machine learning experiment and ...

SAN FRANCISCO--(BUSINESS WIRE)--Databricks, the leader in Unified Analytics and founded by the original creators of Apache Spark™, announced Microsoft is joining the open source MLflow project as an ...

Cloudflare joins MLflow as an active contributor to bridge the gap between model training and deploying inference on the edge SAN FRANCISCO--(BUSINESS WIRE)--Cloudflare, Inc. (NYSE: NET), the leading ...

Value stream management involves people in the organization to examine workflows and other processes to ensure they are deriving the maximum value from their efforts while eliminating waste — of ...

Big-data company Databricks Inc. today updated its MLflow machine learning toolkit with support for the R programming language and other new features aimed at boosting its utility. Databricks had ...

Databricks Inc. opens its Data + AI Summit today with the announcement that it will release the entirety of its Delta Lake storage framework to open-source under the oversight of the Linux Foundation.

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. This article dives into the happens-before ...

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 ...

MLflow is an open source machine learning operations (MLOps) platform that was launched two years ago. Since then, the platform has been downloaded over 2 million times each month. The project has ...