Driving Scalability and Accuracy in QA with AI and ML

This conference talk from Conf42 Python 2025 explores how artificial intelligence and machine learning are revolutionizing quality assurance processes. Discover the limitations of traditional testing methods and learn how AI-driven approaches can overcome these challenges. Explore practical applications including dynamic test strategy generation, automated test case creation, machine learning models for behavior-driven development, predictive analysis in testing, and specialized solutions for mobile app testing. The 38-minute presentation covers essential tools and technologies, implementation strategies, adoption challenges, and provides a forward-looking perspective on the future of QA. Gain valuable insights on how these advanced technologies can significantly improve both the scalability and accuracy of software testing processes.