Databricks on Tuesday launched Model Serving, a tool that enables users to deploy machine learning models as REST APIs on the vendor's lakehouse platform and eliminates the need to manage a serving ...

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 ...

The MLops market may still be hot when it comes to investors. But for enterprise end users, it may seem like a hot mess. The MLops ecosystem is highly fragmented, with hundreds of vendors competing in ...

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 ...

Who needs rewrites? This metadata-powered architecture fuses AI and ETL so smoothly, it turns pipelines into self-evolving engines of insight. In the fast-evolving landscape of enterprise data ...