Artificial Intelligence (AI) and Machine Learning (ML) in software testing has opened up new possibilities in test automation. It aims at delivering smarter, efficient, and error-free software quickly. While the use of AI/ML in test automation is at its nascent stage, it’s gaining momentum. 

There has been significant progress made in the last few years in using AI/ML for software testing, however only a few areas are showing maturity. This whitepaper explores various phases of test automation where AI/ML is making a difference. It also provides a detailed overview on the tools and their level of maturity at each stage.