MLOps (or machine learning in production) refers to the set of practices, skills, and tools required to bring a machine learning (or deep learning, or AI) model into production while maintaining ...

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 ...

New Relic has updated its full-stack analysis and observability platform, New Relic One, to allow data scientists and machine learning engineers to import data from different systems, monitor ML ...

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 ...

As businesses realized the potential of artificial intelligence (AI), the race began to incorporate machine learning operations (MLOps) into their commercial strategies. But integrating machine ...

In this special guest feature, Chida Sadayappan, Lead Specialist for Data Cloud and Machine Learning at Deloitte Consulting, discusses Machine Learning Operations (MLOps). Chida interacts with CxOs to ...

The latest trends in software development from the Computer Weekly Application Developer Network. This series is devoted to examining the leading trends that go towards defining the shape of modern ...

In this special guest feature, Mrinal Chakraborty, DISC Solution Leader at Pactera EDGE, discusses six core aspects of MLOps which are augmenting Enterprise Model Management. Pactera EDGE is a leading ...