How can you increase the pace of testing and decrease the number of tests you perform while making testing more valuable? Emerging technology enabled by machine learning (ML) and artificial intelligence (AI) is making it possible to run fewer tests by selecting only the tests that will result in valuable insight. Why is this important? It addresses an age-old DevOps challenge – testing is viewed as important, but also a bottleneck. Far too often developers are left waiting for code from testers. In addition, in many cases the data that comes back from many tests doesn’t result in meaningful insights, but the traditional wisdom is that you must run every test.