Live Webinar

Harnessing Generative AI for Enhanced Public Services in Canada

Avaible On-Demand (Presented live September 23rd, 2025) • Cost: Complimentary

In this webinar, we will explore the transformative potential of generative AI in the Canadian public sector. Learn from experts about how Generative AI, a subset of artificial intelligence, that has the capability to create new content, such as text, images, and even complex data models, offers innovative solutions for public service delivery.

Key Topics:

Overview of Generative AI: Understand the fundamentals of generative AI and how it differs from other AI technologies.
Benefits and Opportunities: Discover the advantages of generative AI in enhancing efficiency, decision-making, and service delivery within public services.
Challenges and Risks: Discuss the potential challenges, such as privacy concerns, security issues, and ethical considerations, and how to address them.
Best Practices and Policy Considerations: Gain insights into responsible AI adoption, guided by the Government of Canada's AI Strategy, and explore best practices for implementation.
Future Prospects: Explore emerging trends and future possibilities for generative AI in the public sector, envisioning a future where AI-driven innovations significantly improve public services.

Join us to delve into the exciting world of generative AI and its potential to revolutionize public services in Canada. This webinar is designed for public sector professionals, policymakers, and anyone interested in the intersection of AI and public service.

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About the experts

Kimberly Nevala

Strategic Advisor, SAS

Kimberly is a Strategic Advisor at SAS. As a thought leader and global content advisor, Kimberly provides forward-looking perspectives on emerging analytics and data practices. She speaks, writes and leads spirited debates about the future of data and analytics and responsible innovation with AI worldwide. As host of the Pondering AI podcast, Kimberly solicits insights from leading AI researchers, advocates and leaders on a broad range of emerging topics.

Thomas Hindle

Data Scientist, SAS

Thomas Hindle is a Data Scientist at SAS, working as part of the Customer Advisory team based in Ottawa. Prior to joining SAS, Thomas worked as an Economist at Employment and Social Development Canada and The Conference Board of Canada, working on a wide range of research projects. He holds a Masters’ degree in Economics from Queen’s University and Bachelors’ degrees in Economics and Earth Science from St. Francis Xavier University

Walie Aktary

Customer Solution Lead, SAS

Walie is a Customer Solution Lead with experience in deploying and leveraging advanced analytics platforms for the public sector. With a background as a technical architect working in the healthcare space, Walie has worked across diverse domains, from empowering primary care physicians with actionable data to enhancing reporting for continuing care facilities. His expertise spans programming, platforms, and applications, coupled with a passion for open-source technologies. Drawing on years of experience in driving data-driven quality improvements, Walie is committed to helping organizations harness AI and advanced analytics to address complex public sector challenges.

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