We're all talking a whole lot about #AI for all the reasons. We're also talking a whole lot about how we believe that the 'secret sauce' for successful AI-powered #QE, #QA, and #testing is human directed, governed, and validated AI working in collaboration with human expertise and human-driven real-world testing. A recipe that EPAM Systems' testing practice and Test IO are authoring figurative cookbooks for as I type this. Whether you've begun integrating AI tools into your testing infrastructure and flows, you're in an exploration and learning stage, or you're comfortable to keep AI on the horizon for now. What is the biggest blocker for you right now, in regards to an investment of trust in AI-generated test results? We know #quality professionals are by nature a curious yet skeptical lot. What key facet would carry the most weight for you to bridge the You <-> Trusted AI Tools gap?
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