How Gen AI Redefines Testing and Quality Leadership
About Topic
Generative AI is reshaping the fundamentals of software engineering in general and software testing in particular and quality leadership is shifting the focus from validation to intelligent adaptation, resilience, and trust in AI-driven decision-making. As software becomes increasingly autonomous and self-learning, traditional testing models face new challenges—blurring the lines between testing, monitoring, and operations while introducing emergent risks.
Quality leaders must redefine assurance strategies, navigate AI-driven trade-offs, and ensure transparency, explainability, and alignment with business objectives. This session explores the strategic imperatives for leaders to rethink quality paradigms and drive AI-augmented excellence in the enterprise.
Key Takeaways
1. Innovation creates noise, making obvious truths harder to see.
2. Question if a problem really needs GenAI or if existing tools suffice.
3. Understand GenAI’s true value beyond the hype.
4. Old and new solutions should complement, not replace, each other.
5. A real-world case study shows how GenAI can be used effectively.
6. Clarity comes from cutting through illusions and embracing simplicity.
About Speaker
Mahesh Venkataraman is a seasoned IT leader with over 38 years of experience, specializing in distributed systems, software engineering, AI-driven automation, and enterprise observability. As Managing Director at Accenture, he leads AI-powered automation and optimization of IT systems, holds 22 patents, and actively collaborates with academia and is a frequent speaker in international conferences.
Recently he was invited by MIT Boston to share ideas on application of MIT STAMP framework in distributed digital infrastructure.