Manoj Kumar
About Speaker
Manoj Kumar
Vice President - Technology & Solutions
Moolya Software Testing
VP of Technology, Solutions & Presales at Moolya with 20+ years of experience in driving growth, customer success, and operational excellence through technology, quality, and innovation. As my journey expands into a Tech Evangelist role, I focus on AI, quality engineering, software innovation, and enterprise transformation. I am passionate about helping organizations build trusted, scalable, and impactful technology. I hold credentials from Harvard Business School and UC Berkeley Haas, and actively contribute to the tech community as a speaker, writer, host, and mentor. I write The Manoj Report and host QA on the Rocks and Leaders in Transit. I have also been featured by Forrester and other publications for thought leadership and expertise.
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Topic – How Do You Test Something That Learns?
Software testing is going through the most fundamental shift in its history.
For decades, testers validated deterministic software. Systems behaved predictably, outputs were repeatable, and bugs could be reproduced consistently. The testing mindset evolved around certainty.
Artificial Intelligence has changed that foundation.
Modern AI systems are probabilistic, non-deterministic, continuously learning, and deeply integrated with data pipelines. The traditional definition of a “test case” is no longer enough. The tester is no longer just validating features – they are evaluating behavior, trust, and risk.
In this talk, I will shares how the role of the tester must evolve in the age of AI.