For years, test automation has focused on better frameworks, faster execution, and expanding CI/CD pipelines. One challenge still slows delivery: test data.
Modern applications depend on datasets that are complex, interconnected, and often privacy sensitive. Traditional approaches — copying production databases, hand-building records, maintaining static datasets — don't scale well and are slow and costly to maintain.
Generative AI changes what's possible here. Instead of treating test data as a one-time setup task, teams can build intelligent workflows that help discover data requirements, generate realistic datasets, mask sensitive information, surface edge cases, and maintain reusable data assets across the testing lifecycle.
This session introduces an AI-Driven Test Data Strategy Framework that combines generative AI with established test data management practices to improve both automation quality and delivery speed. You'll see where AI adds value, where human expertise remains essential, and how to adopt AI responsibly while maintaining data privacy, regulatory compliance, and trust.
Through practical examples and enterprise scenarios, you'll see how AI can cut test data bottlenecks, improve coverage, and support quality engineering at scale without loosening governance.
Whether you're a test automation engineer, QA lead, SDET, or quality architect, you'll leave with practical ideas for modernizing your organization's test data strategy using AI.
Why test data remains a major bottleneck in modern test automation — and why traditional approaches haven't solved it.
How generative AI can accelerate test data discovery, generation, masking, and maintenance.
A practical framework for integrating AI into enterprise test data management.
How to balance AI-driven innovation with privacy, governance, and compliance requirements.
Actionable steps for evolving from manual test data preparation to an AI-assisted strategy.

TestMu Conf
Testμ(TestMu) Conference is TestMu AI’s (Formerly LambdaTest) annual flagship event, one of the world’s largest virtual software testing conferences dedicated to decoding the future of testing and development. Built by the community, for the community, it’s a space where you’re at the center, connecting, learning, and leading together. From deep-dive sessions on emerging trends in engineering, testing, and DevOps, to hands-on workshops and inspiring culture-driven talks, every experience is designed to keep you at the heart of the conversation.

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Fireside Chat: The Economics of AI Agents: How Startups Are Rethinking Value and Monetization
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Panel Discussion: Mission-Critical Priorities in Quality Engineering: The Leader's Playbook
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