Mastering Quality Engineering in the Age of AI

Artificial Intelligence is transforming software quality engineering by shifting the focus from manual validation to intelligent, predictive, and autonomous testing. As AI becomes deeply integrated throughout the software development lifecycle, it presents both exciting opportunities and complex challenges for quality professionals. Nishadhi explores how the role of quality engineering is evolving in this new era and what it takes to stay ahead. Key topics include: the challenges of adopting AI in testing and strategies to overcome them, leveraging AI to unlock new opportunities for efficiency and coverage, and the ethical implications of AI-driven decision-making in quality processes. This keynote will also address the imperative for upskilling QE professionals and discuss emerging trends that will shape the future of the field. Through real-world insights and actionable strategies, attendees will learn how to build resilient and forward-looking QE practices that balance speed, trust, and innovation. Whether you're leading a testing team, developing AI-infused tools, or seeking to modernize your QE approach, this session provides a clear path to thriving in an AI-driven landscape.