Create an Azure machine learning workspace To get started, you’ll need to create an Azure ML Studio workspace. There are two major routes for doing this.

New tools from the Apache TVM inventors promote what are called "intelligent applications," programs that embed machine learning as functions.

It’s time to bridge the technical gaps and cultural divides between DevOps, DevSecOps, and MLOps teams and provide a more unified approach to building trusted software. Call it EveryOps.

JFrog Becomes an AI System of Record, Launches JFrog ML – Industry's First End-to-End DevOps, DevSecOps & MLOps Platform for Trusted AI Delivery ...

Iterative has launched Machine Learning Engineering Management an open source model deployment and registry tool.