Session 1: Level Setting
March 4 | 1–2 p.m. ET
Presented By: Chris Robson, Vice President, QuestionPro
Objective: Lay the groundwork for understanding synthetic data by introducing key concepts, definitions, and considerations.
Key Topics:
Definition and purpose of synthetic data.
Explanation of how synthetic data is generated.
Use cases, opportunities, and why it’s gaining popularity.
Limitations and pitfalls to consider.
Session 2: Organizational Preparedness
March 6 | 1–2 p.m. ET
Presented By: Cecilia Dones, Founder, 3 Standard Deviations
Objective: Learn how to integrate synthetic data effectively into market research strategies, ensuring organizational readiness through proper planning and practices.
Key Topics:
Best practices for synthetic data management.
Team training and preparation strategies.
Methods for validation and quality assurance.Approaches for balancing synthetic and real data responsibly.
Continuous improvement with emerging technologies.
Session 3: Putting it into Practice
March 11 | 1–2 p.m. ET
Presented By: Clint Taylor, CTO, Veridata
Objective: Dive into practical considerations for deploying synthetic data in real-world scenarios.
Key Topics:
Determining when and where synthetic data is most useful.
Balancing automation and human input.
Evaluating build, partner, or buy decisions.
Establishing reliable, reputable systems for synthetic data integration.
Understanding the role of real vs. synthetic data.
Presenters:
|
Chris Robson |
Cecilia Dones |
Clint Taylor |
