AI/ML have become significant areas of research and development for every industry, and QA is no different. The practice of testing applications has to a large degree become dominated by the principles and patterns of software development. As with any set of tools susceptible to automation, there is the potential for even greater advances due to the application of AI and ML. But in the case of the QA industry, does the marketing behind these advances match the math?
In this session, test automation expert Jonathan Lipps examines some of the claims about AI/ML achievements in the QA industry in light of a brief introduction to AI and ML themselves, to see whether the claims are actually saying or doing anything useful.