The Sector Series – Game-Changing AI Technology for Governments: Digital Twins

Wednesday, July 8, 2026 | 10 a.m. ET | 3 p.m. GMT

About the webinar

From urban infrastructure to climate modeling, digital twins are revolutionizing how governments plan, operate and respond. Now is the time to learn about how this emerging technology can help your agency make smarter, faster decisions.

Join us for an exclusive webinar where we’ll break down digital twins in a way that’s clear, practical and easy to understand – helping your organization build resilience, boost efficiency and prepare for the future.

You’ll get a glimpse of what’s possible when real-time data and AI come together to create a model that helps leaders test scenarios, streamline operations and enhance community outcomes. Register now and don’t miss out on the opportunity to improve public sector innovation.

Key takeaways:

Learn what digital twins are and how they function.
Discover real-world examples in transportation, utilities and emergency management.
Discuss challenges and best practices for integrating digital twins into existing systems.

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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.

Kevin Kalish

Senior Manager, EMEA Industry Consulting, IoT

Kevin Kalish is head of IoT Industry Consulting in EMEA, part of SAS Institute’s Global IoT Division.

Kevin is a senior advisor to clients in diverse industries, providing thought leadership and expertise to drive advanced analytic solutions in support of Industry 4.0 outcomes.

For over 20 years, Kevin has been working with executives, developing and implementing IoT and Machine Learning solutions and can act as a translator bridging the gap between data, business and technology.

Prior to joining SAS, Kevin worked for multiple software vendors, specializing in achieving core business outcomes through advanced data analytics. Kevin founded a start-up designed to optimize Machine Learning to execute in resource-constrained devices.

Kevin has a degree in Statistics and Economics, an MBA and a Green-Belt Six Sigma certification.

Register now