Session
Ensuring Trustworthy AI: The New Mission of Quality Leaders
Outline
What we’ll cover in this session.
AI is reshaping software faster than any technology shift happened before, but can we trust the AI systems we are deploying? As organizations race to adopt AI, Quality Leaders face a new challenge – moving beyond finding defects to ensuring trustworthy AI. This keynote examines how the mission of quality is evolving to assuring AI behavior, safety and reliability and why those who embrace this shift will help define the future of enterprise AI success. Attendees will discover the critical role AI Assurance teams play in enabling enterprise AI adoption.
We’ll walk through
01
Where agentic workflows actually earn their keep in a real QA pipeline — and the two places they quietly fail.
02
The four control surfaces to set up before an agent touches production: scope, evaluation, failure cataloguing, human-in-the-loop.
03
Patterns for flaky-test triage, regression pruning, and visual-diff arbitration with receipts from three production systems.
04
A reference architecture you can take back to Monday’s sprint planning, plus the metrics that prove it’s working.
Speaker
Ramya RMoorthy
AVP – AI Assurance Practice Head
Ramya R. Moorthy is a technology leader in Performance and Reliability engineering and AI Assurance expert with over 2 decades of experience helping global enterprises build reliable & resilient digital systems. She specializes in driving AI strategy for ensuring reliable, safe and trustable AI platforms. Having led large-scale quality transformation and engineering initiatives across industries, she is passionate about enabling organizations with trustworthy and enterprise-ready AI systems through robust AI Assurance practices. Ramya is a sought-after speaker, leadership coach, and advocate for building trust as the foundation for successful enterprise AI adoption.
Catch this session live.
One pass, every talk, no parallel tracks. Super Early Bird
ends when the next 200 seats are gone.