Google debuts new AI features and tools to advance MLOps - SiliconANGLE

Google LLC announced today a raft of artificial intelligence-related updates as part of Google Cloud Next: OnAir, a nine-week series of livestream events that runs through Sept. 15. The focus of today's updates is all about machine learning and, in particular, the emerging MLOps discipline that's aimed at putting machine learning workflows into operation by fostering more collaboration and better communication between data scientists and developers. Google's AI Platform is a suite of tools that's meant to enable MLOps. It enables machine learning developers, data scientists and data engineers to take their ideas around ML and develop these into actual projects that can be deployed in production quickly and without excessive costs. The AI Platform is centered on Kubeflow, which is an open-source platform developed by Google that enables developers to build portable ML pipelines that can run on-premises or in Google's Cloud.