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 ...

Today, Databricks is announcing MLflow 2.0, which will add a major new feature, called Pipelines. Pipelines are templates for setting up ML applications, so everything’s ready for ...

In this new phase of partnership and collaboration on MLflow, Cloudflare and Databricks are closing the loop on how AI models are quickly and easily deployed to the edge.

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 ...

MLflow, the open source framework for managing machine learning (ML) experiments and model deployments, has stabilized its API, and reached a version 1.0 milestone, now generally available.

Databricks' feature store is materialized in Delta Lake files and accessible via Delta Lake APIs. And, like the AutoML engine, the feature store is integrated with MLflow.

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 ...

Finally, Databricks provides a user interface to explore the MLflow experiments and runs similar to the standalone UI that is accessible from the MLflow command line tool.

With MLflow project becoming a part of the Linux Foundation, it will witness increased adoption from ML platform providers, framework and tool developers and enterprises.