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 ...

Machine learning (ML) teaches computers to learn from data without being explicitly programmed. Unfortunately, the rapid expansion and application of ML have made it difficult for organizations to ...

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 ...

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 ...

MLOps, or DevOps for machine learning, is bringing the best practices of software development to data science. You know the saying, “Give a man a fish, and you’ll feed him for a day… Integrate machine ...

This article is part of a VB special issue. Read the full series here: The quest for Nirvana: Applying AI at scale. To say that it’s challenging to achieve AI at scale across the enterprise would be ...