Ideas to Impact: 22 Patents, Agentic AI, and the Next Decade of Quality Engineering
What we’ll cover in this session.
Looking forward to sharing a few reflections from my innovation journey across 22 patents in the QE space. Working on patents has been a learning experience filled with curiosity, collaboration, experimentation, and many valuable lessons along the way. More than the outcomes themselves, the journey has reinforced the importance of continuous learning, problem solving, resilience, and being open to new perspectives.
Hoping the session encourages others to see that innovation does not always begin with breakthrough ideas — often, it starts with simply observing and solving day-to-day challenges while keeping up with the best technology has to offer. I’ll cover the use of AI and agentic frameworks to improve SDLC quality, as well as how we evaluate AI algorithms as they become part of the build-test-ship loop.
Where agentic workflows actually earn their keep in a real QA pipeline — and the two places they quietly fail.
The four control surfaces to set up before an agent touches production: scope, evaluation, failure cataloguing, human-in-the-loop.
Patterns for flaky-test triage, regression pruning, and visual-diff arbitration with receipts from three production systems.
A reference architecture you can take back to Monday’s sprint planning, plus the metrics that prove it’s working.
Mallika Fernandes
Managing Director
Catch this session live.
One pass, every talk, no parallel tracks. Super Early Bird
ends when the next 200 seats are gone.