A Gartner study has mentioned that by 2024, 75% of large enterprises will use AI-enabled test automation tools for continuous testing. Also, 80% of the participants intend to increase the number of AI-based trials and proofs of concept, as per the World Quality Report survey. Such reports on industry trends indicate that AI-based automated testing is on the rise and on track for more than just a passing grade.
We at Qyrus believe that an AI-led quality assurance testing solution should be based on an approach guided by a continuous cycle of Discover >Understand > Predict > Respond.
Read this e-book to know:
- How Artificial Intelligence help software developers and testers across industries?
- How can Qyrus help in shaping the QA & testing space using AI?
- How can AI make test automation more productive?
