QA teams now use machine learning to analyze past test data and code changes to predict which tests will fail before they run. The technology examines patterns from previous test runs, code commits, ...

Sure, risking failure is important. Not stupid failure – the kind that comes from testing the depth of water with both feet. Rather the well-considered variety: the ‘intelligent failures’ essential to ...