From Test Automation to Intelligent Quality: Unlocking Business Value with AI
About Topic
Most organizations have automated testing but struggle to translate it into tangible business impact. With AI, the next evolution isn’t more automation-it’s AI-powered intelligent quality engineering.
This session explores how AI and GenAI redefine testing through predictive defect detection, AI-driven test generation, autonomous maintenance, and adaptive quality gates that learn from production data. By shifting focus from test execution metrics to business value and release confidence, QA engineering teams can move from reactive testing to proactive quality assurance that drives measurable outcomes.
Key Takeaways
1. Innovation creates noise, making obvious truths harder to see.
2. Question if a problem really needs GenAI or if existing tools suffice.
3. Understand GenAI’s true value beyond the hype.
4. Old and new solutions should complement, not replace, each other.
5. A real-world case study shows how GenAI can be used effectively.
6. Clarity comes from cutting through illusions and embracing simplicity.
About Speaker
Pankaj is the Senior Vice President and Global Head of the Technology Solutions Center at ValueMomentum, where he leads engineering modernization and AI-driven transformation for insurance platforms and applications. With over 20 years in BFSI technology, he focuses on advancing how teams build, test, and operate software—introducing practices such as AI-assisted development, GenAI-enabled SDLC workflows, intelligent automation, and data-driven quality engineering. His work centers on helping engineering organizations reduce cycle time, improve resiliency, and elevate product quality by embedding AI into the core of development and testing processes. Pankaj is passionate about empowering teams to adopt practical AI capabilities that deliver real, measurable impact.
Topic details coming soon..
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