First, we’re looking for diverse panel candidates – Academics, Clients, Suppliers and Vendors – who bring hands-on experience evaluating, testing, or using synthetic data. 

Candidates must: 

  • Be able to share strengths and limitations of synthetic data (i.e. not total evangelists nor outright detractors)
  • Share best/worst use cases
  • Share results from real-world experimentation and evaluation
  • P&G alumni are preferred but not required 

Second, we’re building a curated resource library on Synthetic to share with alumni – articles, research papers, validation studies, case studies, posts, examples of successful (or unsuccessful) applications. We’ll provide a big-picture summary of key learnings in the session, and make them available to the alumni community.

If you have panelist recommendations or articles/resources to share, please send to Jeff Goldstein at pgalumni.insights@gmail.com 

Thank you for helping us create a practical, evidence-based discussion on one of the most important emerging topics in insights and analytics!

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