AI is not the future of Quality Engineering—it’s the present. As organizations strive to deliver reliable digital experiences at the speed of innovation, AI-powered Quality Assurance has emerged as a new competitive differentiator. This session unveils how AI, analytics, and automation are transforming testing from a manual function into an intelligent, self-optimizing ecosystem. Our experts from Sutherland will walk you through real-world trends, innovations, and practical solutions driving the next evolution in QA.
Watch Now to discover how you can build intelligent, high-impact quality engineering operations.
What You’ll Learn
- How AI-driven automation transforms traditional test automation into autonomous, self-healing quality engineering
- Techniques to leverage real-time predictive insights for faster, smarter release decisions
- Methods for using NLP and AI to accelerate test case generation and impact analysis
- Strategies to integrate AI-powered monitoring for end-to-end quality observability
- Business benefits of AI-led QA, including reduced effort, faster cycles, and improved customer experience
Key Takeaway
Gain actionable insights to build an AI-enabled QA ecosystem—moving from manual, reactive testing to autonomous, predictive, and intelligent Quality Assurance. See how Fortune 500 enterprises are already achieving these results.
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Meet the Speakers
Our experts will share real-world insights, industry trends, and practical takeaways to help you harness AI in QA. Each session brings thought leadership and actionable strategies to future-proof your quality engineering approach.


