Live Webinar

Advancing Public Trust Through Data and AI

April 14th, 2026 | 11 am – 12 pm ET

Public servants across Canada—at both federal and provincial levels—are increasingly tasked with delivering programs that uphold transparency, integrity, and responsible management of public resources. Join us for an engaging session that examines how leading-edge data integration and ethical AI practices are empowering Canadian governments to better serve their communities.

Drawing on practical insights and real-world experience, this session will unpack the challenges of data silos and showcase how breaking down barriers between organizations can foster stronger collaboration and build lasting public trust. Discover actionable strategies that help reduce administrative burdens, improve visibility across complex government systems, and support evidence-informed decision-making.

Key Takeaways

  • Enhancing Collaboration Across Jurisdictions: Learn how integrated data and AI solutions can facilitate seamless cooperation between federal and provincial government departments, improving service delivery and strengthening public confidence.
  • Reducing Administrative Burden: Explore practical approaches for minimizing repetitive tasks and streamlining processes, freeing up valuable time and resources for public servants to focus on what matters most.
  • Making Evidence-Informed Decisions: Discover how data integration and responsible AI usage can provide clearer insights, enabling Canadian public servants to make decisions rooted in transparency and accountability.

Don’t miss this opportunity to gain valuable perspectives and tools to advance public trust in your programs. Register Now to secure your spot!

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About the experts


John Stultz

Principal Solutions Architect, SAS

John Stultz is a Fraud Solutions Architect in the Risk, Fraud, & Compliance practice at SAS.  John’s mission is to help commercial and public organizations implement modern approaches to stopping crime before it happens. With more than 27 years of experience at SAS, John has partnered with organizations across industries worldwide helping them leverage data and analytics to operationalize risk detection and ultimately prevent financial loss.

John brings a wealth of best practice data preparation and data analytic insight to machine learning and AI implementation conversations.  John holds a Master’s in Epidemiology and Biostatistics from Tulane University’s School of Public Health and Tropical Medicine and resides in Reston, VA.  When not helping agencies or companies avoid revenue lost to fraud, waste, and abuse, he can be found hiking or camping in the Shenandoah mountains of Virginia.  


Scott Nason

Canadian Provincial Government Sales Leader, SAS

Scott Nason leads SAS Canada’s work with provincial governments, agencies, and Crown corporations. With a career spanning enterprise technology in both public and private sectors, he has helped organizations rethink operations and reshape their markets. Currently, Scott and his team are focused on how AI can reduce barriers to interprovincial trade by streamlining regulation and enforcement.