The Sector Series – Game-Changing AI Technology for Governments: Large Language Models

Tuesday, March 10, 2026 | 9:30 a.m. ET | 1:30 p.m. GMT

About the webinar

Unlocking the value of AI doesn’t have to be complicated. Large Language Models (LLMs) are designed specifically for public sector professionals who may be new to AI.

Join us for an exclusive webinar where we’ll break down what LLMs are, how they work and why they matter for government operations. In addition, we’ll showcase real-world examples where LLMs are already helping agencies boost efficiency, strengthen transparency and improve responsiveness to citizens.

If you’re looking for a soft onboarding to LLMs and their role in modern government, this session is the foundation you need. Leave with a stronger understanding of this technology and the confidence to explore how it can support your mission.

Key takeaways:

Learn what LLMs are and how they differ from traditional AI systems.
Discover how governments implement LLMs for things like research, citizen engagement and automation.
Tap into key considerations when using LLMs.

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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.

Mary Osborne

Senior Product Manager, SAS

Mary Osborne is a natural language processing and generative AI enthusiast who shares her passions for human language by managing the natural language processing portfolio at SAS and teaching computational linguistics at Duke University. With over 25 years of experience helping organizations adopt and gain value from analytics, she's excited to be involved in shaping the next generation of AI.

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