Limits and Leverage of AI in Test Data (register here)

Artificial Intelligence continues to transform testing landscapes, often promising to drastically reduce complexity and make automation a breeze. Yet, when it comes to reliable test data, AI alone cannot replace the nuanced reality of production data – especially for reproducing elusive errors and rare event constellations. Plus, the organizational challenge of different data consumers (developers, testers, automation engineers, ML engineers) wanting different things is often overlooked. In this context expert knowledge and field experience are key – both on the operator as well as the consumer side. AI and automation will certainly lighten the load, but they must be applied wisely within a holistic framework.

In this insightful webinar in partnership with TestGuild, Christoph Stock and Bastian Baudisch from UBS Hainer will examine the complexities of supplying test data across diverse environments, tailored to the individual consumers’ needs. They will share how to separate technical from organizational complexity and how artificial intelligence CAN help when employed in the right context.

Key Takeaways Include:

• The Intricacies of Test Data Orchestration: Understand the multifaceted challenges of providing test data to numerous consumers while maintaining quality, security, reliability and relevance.
• Production Data vs. AI-Generated Data: Learn where AI generated data has its place and where real-world production data is indispensable.
• Augmentation, Not Replacement: Discover how to strategically leverage AI to enhance your testing arsenal, using intelligent data augmentation to fill gaps or increase volume.
• Smart Integration for Future-Proofing: Explore a balanced approach that merges the best of AI-driven innovation with the proven reliability of real production data, ensuring compliance and performance.

Join us for a thought-provoking session that cuts through the hype and delves into practical realities. Whether you’re a tester, QA professional, ML engineer or technology leader, this discussion will empower you to make informed choices and shift from a reactive process to a proactive data strategy.

Embrace a sophisticated, hybrid model where AI augments the irreplaceable insights provided by production data and automation boosts your productivity, improving lead times as well as the developer experience.

Speakers

Bastian Baudisch

Christoph Stock

Christoph Stock is an experienced software expert with over 15 years of experience in automating test data management. With a background in computer science, Christoph has extensively collaborated with companies in the finance, insurance, and retail industries, supporting them in the implementation and migration of test data management solutions. His passion lies in developing software and automation processes that are tailored to user needs