05/28/2026
Synthetic data is no longer theoretical. It is already being tested, sold, and used across the insights industry.
But a critical question remains: How do we know when synthetic data can be trusted?
Join KS&R’s Ben Cortese, PhD, and Jennifer Longo for a deeper look at the ECHO Index, KS&R’s evaluation framework designed to assess the quality, reliability, and trustworthiness of synthetic data.
In this webinar, Ben and Jennifer will explore what KS&R is learning through ongoing research and model evaluation, including where synthetic data shows promise, where it falls short, and why validation and governance matter as AI-enabled research methods continue to evolve.
What You’ll Learn:
• What the ECHO Index is and why KS&R developed it.
• Application of the ECHO Index to two data sets.
• Why consistent validation practices are needed as AI-enabled research methods evolve.
• How organizations can approach synthetic data with greater rigor, transparency, and confidence.
• How the framework helps evaluate synthetic data quality and reliability.
Register here: https://bit.ly/4dQ2k7J