The Sector Series – Game-Changing AI Technology for Governments: Synthetic Data

Tuesday, June 9, 2026 | 9:30 a.m. ET | 2:30 p.m. GMT

About the webinar

Governments collect and manage enormous amounts of data – but accessing and using that data isn’t always simple. Privacy rules, sensitive information and inconsistent data quality often slow down important work. Synthetic data offers a practical way forward.

Join us to learn how synthetic data helps agencies test new systems, strengthen AI initiatives and improve service delivery without putting real citizen information at risk – no technical background required!

If you want a simple, accessible introduction to one of AI’s most promising capabilities for government, this webinar is the perfect place to start. Reserve your spot and discover how synthetic data can help your agency work more efficiently, transparently and responsibly.

Key takeaways:

Learn what synthetic data is and how it is generated.
Understand the ethical and technical considerations for implementing synthetic data solutions.
See examples of use cases in the public sector.

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About the experts

Jennifer Robinson

Global Strategic Advisor, Public Sector, SAS

While working to help governments maximize the use of their data through data integration, data management and analytics, Jennifer Robinson’s career in software development is complemented by the opportunity to serve as a local elected leader for the last 25 years. Robinson cowrote the book A Practical Guide to Analytics for Government and is featured in the book Smart Cities, Smart Future. In addition to writing articles and blogs about data-driven governing, she speaks with government leaders about emerging technologies and how to adopt them strategically.

Sundaresh Sankaren

Senior Pre-Sale Solutions Architect, SAS

Sundaresh Sankaran helps organizations make better strategic and operational decisions using AI. With experience in solution architecture, product management, customer advisory, enablement and implementation, he knows it all and does it all. He has previously worked with analytics teams at General Electric and Genpact.

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