The synthetic data conversation has been filled with hype, bold claims, and skepticism. But what happens when those claims are put to the test?

In our upcoming session of Between Two Joels on September 17th at 1:00pm EST, our AI experts Joel Anderson and Joel Armstrong, will unpack their new whitepaper, When Synthetic Data Works, which provides an independent validations of synthetic data boosting. Instead of debating theory, we’ll show hard evidence: how Fairgen’s method worked on real-world datasets, what it means for smaller subgroups, and where its limits are.

You’ll walk away with:

• A clear understanding of the difference between fully synthetic vs. augmented synthetic data.
• Transparent, statistically rigorous results on when boosting improves accuracy and effective sample size.
• A framework for knowing when synthetic augmentation is worth using (and when it isn’t).
• Practical implications for insights leaders navigating small-sample challenges.

If you’ve joined our previous synthetic data sessions, expect something new: this isn’t about introducing synthetic data; it’s about validating it, challenging assumptions, and learning when and where you can use it.