The QA industry is at an inflection point, with low-code, no-code automation and AI transforming the way we test and deliver software. While these technologies promise accelerated testing, increased efficiency, and improved accuracy, they also bring new risks and challenges. As organizations rush to adopt these innovations, they must also confront the potential downsides, including early adoption, over-reliance on technology, and the need for significant upskilling. In this talk, we’ll explore the real-world implications of low-code, no-code automation and AI on QA, including both the benefits and the risks. We’ll discuss the mindset shift required for individuals to thrive in this new landscape, and the strategies organizations must adopt to mitigate the challenges and maximize the opportunities. Join us for an exploration of the future of QA, and discover how to navigate the complexities of this rapidly evolving field

Takeaways from your talk: – 1:Automation is not a replacement for human judgment

– 2:Upskilling is essential for survival

– 3:Strategic adoption is crucial to minimize risks