Augmenting your testing ops with an Artificial Intelligence (AI) powered test automation strategy can vastly improve test coverage while delivering ROI.
While the internet is rife with examples of AI taking over every possible industry vertical, we believe that human-AI collaboration can produce far better results than a purely AI-based approach. Advancements in AI and Machine Learning (ML) technologies can help organizations shift from manual to automated testing.
In this eBook, get an exclusive look at:
Technology evolves pretty fast, and test automation right along with it. Frameworks were the industry standard for so long, and now with codeless test automation platforms coming into the market, it’s easy to lose track of how we got here and what we have. What’s more, with all of the software available, how do you know what makes a good test automation tool?
See anything you like there? We’ve got an excerpt for you to pique your interest, too:
“There was a time and a place for each type of testing software when technology like AI, ML, NLP, and RPA was not far advanced enough for codeless automation to even be possible. However, the need for quality at speed drives the development of codeless automation, as that need is one of the top objectives of QA teams. When new technologies and speed/scale requirements collide, that collision point creates codeless automation. Necessity breeds innovation.”