Chris Long brings over two decades of pioneering leadership in data analytics and machine learning to his role as Global VP of Banking and Financial Services AI Solutions at Siemens. Based in Toronto at Siemens’ offices on Bay Street, Chris has built a career at the intersection of advanced analytics and enterprise solutions in Government, Banking, and Insurance. Chris has led global analytical teams that leverage cutting-edge technologies, including machine learning and optimization algorithms, for predictive, prescriptive and generative AI platforms. His technical foundation spans the entire analytics ecosystem—from traditional statistical modelling with SAS to modern distributed computing frameworks—while maintaining deep expertise in specialized domains such as Financial Crimes, AML and Risk.
Day 1: Oct 14, 2025
1:45 pm
PANEL: MODERNIZING LEGACY SYSTEMS
Driving Innovation by Bridging the Gap Between Traditional Infrastructure and Cutting-Edge Technology in the Public Sector
Public sector organizations in Canada face the challenge of integrating AI-driven analytics into legacy data systems that were not designed for modern innovation. Optimize existing infrastructure and organizational culture to support AI adoption while maintaining safety, policy compliance, and positive citizen outcomes. Adopt best practices to:
- Strike the right balance between short-term iteration and long-term data transformation.
- Leverage hybrid cloud, APIs, and data pipelines for seamless integration with modern AI tools.
- Optimize guardrails and AI policies to support the safe and compliant use of low-code, no-code, and other democratization tools.
Perfect your data infrastructure incrementally to support seamless AI integration, enhance service delivery, and maintain trust in public sector outcomes.
Day 2: Oct 22, 2025
