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 ...

MLOps (machine learning operations) represents the integration of DevOps principles into machine learning systems, emerging as a critical discipline as organizations increasingly embed AI/ML into ...

We knew AI was hot, but the last week has brought several announcements that show the industry is trying to bring AI and machine learning (ML) into the enterprise mainstream. With two AI acquisitions ...

The platform's full-stack AI capabilities—from low-code AutoML to sophisticated MLOps, agent frameworks, and high-speed visualization—empower organizations to quickly prototype, deploy, and scale AI ...

In a pre-briefing with ZDNet earlier in the week, Zaharia provided an update on MLflow's momentum, details on the new features and reasoning for moving management of the open source project from ...