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

Thursday, May 14, 2026 | 9 a.m. ET | 2 p.m. GMT

About the webinar

The next wave of AI is here, and it’s reshaping government in practical and understandable ways. Agentic AI sets itself apart from traditional models, and this matters for public sector organizations looking to improve efficiency, transparency and service delivery.

Join us as we break down agentic AI and the intelligent systems that can make decisions, take actions and collaborate with humans to solve key problems. All you need is a little curiosity and an interest in what’s possible!

Register now and gain the clarity and confidence to explore intelligent agents and AI-driven innovation in your own programs.

Key takeaways:

Learn what agentic AI is and how it differs from traditional AI models.
Discover real-world examples of agentic AI in the public sector.
Unlock key considerations around trust, oversight and responsible implementation.

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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.

Véronique Van Vlasselaer

Principal Data Scientist, SAS

Véronique Van Vlasselaer is the Analytics & AI lead for South, West and East Europe at SAS, and a true data science enthusiast. In her job, she passionately helps companies to envision and prepare for an AI-driven future, embrace the power of data science to support intelligent decisioning, and discover the real value in their data. Before she joined SAS, she graduated with a PhD in business economics from the KU Leuven (Belgium) Department of Decision Sciences and Information Management, under Professor Bart Baesens. Her PhD is oriented toward the development of fraud detection frameworks and solutions from a data science perspective. She is a co-author of the book Fraud Analytics Using Descriptive, Predictive, and Social Network Techniques: A Guide to Data Science for Fraud Detection.

Register now