Why Synthetic Data Belongs in the Modern Research Toolkit 

As AI reshapes the future of insights, synthetic data is moving quickly from emerging concept to practical research tool. 

This session will help researchers, insights leaders, and business decision-makers understand where synthetic data can create value, where it should be used with caution, and why validation is essential to trust. The discussion will explore core applications such as data augmentation, digital twins, personas, imputation, and boosting, while emphasizing the guardrails needed to ensure privacy, fidelity, utility, and decision confidence. Participants will leave with a clear framework for evaluating AI-enabled research approaches and applying synthetic data responsibly, with quality and transparency at the center. 

As AI reshapes insights, we will explore how synthetic data can create value, where caution is needed, and why validation is essential to trust. Attendees will learn how to evaluate AI-enabled research approaches and apply synthetic data responsibly, with quality and transparency at the center. 

• Identify where synthetic data adds research value. 
• Know when caution and validation are required. 
• Apply AI-enabled research with quality and transparency 

Reserve your spot today to learn practical strategies for driving faster, smarter insights without compromising quality.