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

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.

Paul Venditti

Advisory Industry Consultant, IoT, SAS

Paul is a seasoned industry consultant with over 30 years of experience at the intersection of technology and operations. He began his career at GE, supporting field services across heavy industrial sectors and later contributing to early advancements in industrial analytics, helping lay the foundation for remote monitoring and diagnostics and digital twin technology. At SAS, Paul now works with organizations to harness AI, machine learning, and IoT to optimize operations across asset- and process-intensive industries. His work focuses on applying digital twins and composable technologies to improve performance, resilience and operational efficiency.

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