MLOps Special Issue

4 Posts

Different models in production
MLOps Special Issue

ML in Production: Here are 6 essential papers for MLOps

Deploying models for practical use is an industrial concern that generally goes unaddressed in research. As a result, publications on the subject tend to come from the major AI companies.
Craig Wiley speaking
MLOps Special Issue

MLOps for All: Google Cloud's Craig Wiley on how he builds AI products.

Craig Wiley has journeyed from the hand-deployed models of yore to the pinnacle of automated AI. Today, as chief product manager of Google Cloud’s AI services, he’s making advanced tools and processes available to anyone with a credit card.
Graph showing types of phishing attacks
MLOps Special Issue

24/7 Phish Fry: How Nestle built an AI-Powered phishing detector with Azure.

Foiling attackers who try to lure email users into clicking on a malicious link is a cat-and-mouse game, as phishing tactics evolve to evade detection. But machine learning models designed to recognize phishing attempts can evolve, too, through automatic retraining and checks to maintain accuracy.
Original vs processed image checking for leaks on a compressor
MLOps Special Issue

Super-Human Quality Control: AI finds manufacturing flaws better than human inspectors.

A computer vision model, continually trained and automatically updated, can boost quality control in factories. Landing AI, a machine learning platform company led by Andrew Ng, helped a maker of compressors for refrigeration check them for leaks.

Subscribe to The Batch

Stay updated with weekly AI News and Insights delivered to your inbox