Digital twins are reshaping the way we generate insights across industries. In this webinar, we explored how AI-powered digital twins can enhance market research, enabling faster, more reliable insights while addressing challenges like hard-to-reach audiences and data quality.
Join Dan Wasserman, COO of KJT and leader of Sparq Intelligence, and Ellen Gordon, PhD, SVP of Client Strategy & Growth of KJT, as they break down our approach to building and validating digital twins, share real-world applications, and discuss key considerations for leveraging this technology.
We covered:
✅ How digital twins are created and validated using real-world data
✅ Their role in accelerating decision-making and hypothesis testing
✅ Applications in market research, innovation assessments, and behavioral modeling
✅ Ethical considerations and data quality safeguards
✅ Lessons from industries already applying digital twins successfully
If you’re looking to stay ahead in an increasingly AI-driven insights landscape, this session will equip you with the knowledge to assess whether digital twins are right for your research strategy.
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Authors
Dan Wasserman
Chief Operating Officer and Head of AI Solutions
Dan Wasserman is KJT’s COO, leading the integration of generative AI into client solutions to drive innovation as part of Sparq Intelligence. With expertise in compliance, operations, and analytics, he transforms complex data into actionable insights. Dan values collaboration with KJT’s teams to help clients design better products and services.
Ellen J. Gordon, PhD
Client Strategy & Growth, SVP
Ellen is an accomplished senior insights professional. Her understanding of client needs spans R&D, digital health, and commercial strategy, positioning her as a trusted partner for life science companies. Ellen is passionate about using emerging technology such as genAI to enhance market research. Ellen holds a PhD from the University of Michigan.
