Quality At the Speed of AI: The Dynamic Evolution of QA

Are your QA practices evolving with AI, or becoming the bottleneck AI exposes?

That is the question Nisha Singh is tackling in Quality at the Speed of AI: The Dynamic Evolution of QA.

Software teams are moving faster than ever. AI is accelerating development, shrinking cycle times, and increasing release pressure. But for many organizations, QA is still trapped in manual cycles, reactive testing, limited coverage, and repetitive work.

In this session, Nisha shares how AI is reshaping QA from a downstream testing function into a strategic quality capability.
She will cover how teams can use AI to generate stronger test cases, identify high-risk code earlier, reduce repetitive QA work, and build feedback loops from production defects back into testing strategy.
What you will walk away with:
A practical 3-pillar framework for modernizing QA with AI

• Techniques for AI-assisted test generation and risk-based testing
• Metrics that matter: escape rate, recurrence, MTTD, and test ROI
• A clearer path for evolving QA skills in the AI era

This session is for QA leaders, test automation engineers, engineering leaders, DevOps teams, and anyone responsible for delivering software faster without sacrificing quality.

AI is changing how software gets built. QA has to change how quality gets delivered.