Defining Enough: Testing in the GenAI Era | SatParkash Maurya | Testflix 2025 | #testingcommunity

In machine learning, an 85% accurate model is often considered a success because we accept that data is messy, the real world is unpredictable, and chasing perfection is rarely worth the cost. However, in software testing, especially in the GenAI era, the question of “Can we test 100%?” still comes up. With AI systems producing probabilistic outputs where the same input can lead to different results, absolute coverage is unrealistic. Confidence scores already tell us that uncertainty is part of the system, and testing needs to acknowledge that reality.

This session reframes the idea of “enough” testing for AI-driven systems. It explores how approaches like Principal Component Analysis can reduce the testing space by focusing on what truly matters, how confidence scores can help identify high-risk areas, and why continuous evaluation matters more than one-time pass or fail decisions. The goal is not to test everything, but to test the right things with the right depth, enabling teams to ship with confidence and trust their systems in production.

#AutomationTesting #TestAutomation #ITindustry #TheTestTribe #Leadership

This video is of one of the sessions presented at #Testflix - World’s Leading Virtual Software Testing Conference.

About the Speaker:
SatParkash Maurya, General Manager at Vodafone Intelligent Solutions (VOIS), is a Quality Practice Leader with 19+ years in telecom and enterprise testing. He has led global initiatives that improved automation maturity, delivered multi-million-euro savings, and reshaped testing operations for scale. Passionate about integrating AI, GenAI, and hyperautomation into quality practices, he helps teams adopt data-driven, risk-based testing approaches. In his talk “Defining Enough: Testing in the GenAI Era”, he shares practical ways to decide when testing is truly “enough” by using confidence scores, PCA, and risk prioritization—balancing speed, quality, and trust.

Connect with SatParkash on LinkedIn -
https://www.linkedin.com/in/satparkashmaurya/

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