Synthetic data is gaining traction across the research industry, but the hype often outpaces practical guidance. If you’ve found yourself asking when, where, and how to actually use it, you’re not alone. This session offers a grounded starting point, with insights from researchers who’ve tested synthetic approaches across dozens of real-world pilots.

Join Greenbook and Qualtrics to hear from practitioners who have led over 20 synthetic data pilots and are actively exploring how these methods complement — or challenge — traditional data collection. From early wins to the current limitations, the session will help demystify the technology, clarify where it adds value, and highlight what to watch as adoption accelerates.

You’ll get a candid look at what’s working in the field, where the pitfalls are, and how to explore synthetic data through low-risk, high-learning use cases. If you’re looking to build confidence with emerging AI methods and bring practical innovation into your workflow, this is the place to start.

What You’ll Learn:

• The most promising and practical use cases for synthetic data in research
• How to evaluate and use synthetic data tools with greater confidence
• Low-risk ways to begin experimenting with synthetic methods in your current workflow