Show & tell: AI for Testing: From Proof of Concept to Productification & PoC to Failures

In this session, we’ll take an engaging journey through real-world lessons learned while bridging the gap between AI-powered testing prototypes and robust, production-ready solutions. I’ll discuss the practical challenges that arise when moving from proof of concept (PoC) to full productification, including the hurdles faced and some failed PoCs that provided invaluable insights. We’ll dive into topics such as strategic test case selection, tackling the notorious challenge of flaky tests, automated test case generation, and fault classification using AI. The talk will also explore how an AI data lake can accelerate testing workflows. Demos will bring these concepts to life, showcasing automation in action and demonstrating how these innovations are shaping the future of software testing.