The software industry is transforming rapidly due to new changes brought on by artificial intelligence (AI) and machine learning (ML). AI & ML have democratized many aspects of the software testing process helping businesses, small and large, save time and money. As AI bridges the technical gap required in many jobs, more people will be able to add tremendous value to development teams — without the need of a computer science degree.

In my 18 years of working in quality engineering and the testing community, I’ve developed some best practices to help organizations create and manage their overall test strategies. This is the second in a 10-week series on what testers wish their CIOs and CTOs knew about testing. Each week, I’ll share my experience to help educate tech leaders on key priorities their testing teams need them to understand.