Webinar

Leveraging Data and AI to Predict and Manage Risks in Public Sector

Best practices for mitigating AI bias and discuss the emerging regulations

Available On-Demand • Cost: Complimentary

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About the webinar

Join SAS and Risk Experts for a comprehensive exploration into the transformative roles of artificial intelligence and data analytics within the public sector’s risk management and financial planning practices. The session will address best practices for mitigating AI bias and discuss the emerging regulations such as the EU AI Act, NAIC Use of AI Model Bulletin, and OSFI guidelines on AI risks. Furthermore, experts will discuss the integration of AI tools in assessing and managing financial, operational, strategic risks, and Environmental, Social, and Governance (ESG) factors, equipping public sector professionals with the knowledge to advance their risk management frameworks effectively.

Join Risk Experts as they discuss:  

  • AI in the public sector 
  • International regulatory frameworks on AI 
  • Principles of responsible AI  
  • Financial risk management and AI 

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About the experts


Max Samadov

Manager, Pre-Sales, Risk Research and Quantitative Solutions at SAS

Max Samadov is a Manager, Risk Solutions for SAS Institute, based in New York, where he focuses on the technical sales support for the insurance industry. In this role, Max was instrumental in positioning SAS as a leading IFRS 17 vendor in North America. Before joining SAS, Max held several roles at IBM, where he was responsible for the business development of risk solutions in the Canadian and Eastern European markets. Before IBM, Max worked as a product manager and a financial engineer in Toronto-based risk management vendor Algorithmics. Max holds master’s degrees in data analytics from Cornell University, public relations (Ball State University), as well as bachelor's degree in economics from Donetsk National University, and he is a certified Financial Risk Manager from GARP.


Pat Poitevin, CACM, TASA

Co-Founder - Executive Director - Canadian Centre of Excellence for Anti-Corruption (CCEAC)

Mr. Pat Poitevin is an internationally recognized expert in anti-corruption, corporate ethics, and compliance. He is the co-founder and executive director of the Canadian Centre of Excellence for Anti-Corruption (CCEAC). Mr. Poitevin is a 35-year veteran of the Royal Canadian Mounted Police and retired in October 2017, where he was the RCMP's anticorruption and compliance expert. He has also been an investigator and expert on drugs, organized crime, and financial crime. He is in demand as a speaker, university lecturer, and trainer at the international level and has extensive experience in program development and capacity building. Mr. Poitevin has been advising and helping public and private organisations to improve their ethics, compliance, and anti-corruption measures as well as the use of IT solutions and data analytics in risk management. Mr. Poitevin has also worked on research, consultative, and advisory projects with the G20, UNODC, and the IMF. He was a member of the Canadian Project Committee (PC278) involved in the development of the ISO 37001 Anti-bribery and ISO 37002 Whistleblowing Management systems standard. He is a member of the Transparency International Expert Network, ACFE, IAFCI, AACI, and several other professional associations. He also has the CACM and TASA professional designations. He is a member of Transparency International Canada and a Certified Anti-Corruption Manager (CMACUSA). 


Patrick Cane

Senior Manager, Risk Quantification Division at OSFI

Patrick Cane is a Senior Manager at OSFI where he promotes the safe adoption of artificial intelligence (AI) through the financial sector. In this role, he championed the Financial Industry Forum for Artificial Intelligence which created a community of AI thought leaders from academia, regulators, banks, insurers, pension plans, fintechs, and research centers. Patrick was a co-author of the report with insights from FIFAI, including the “EDGE” principles for the responsible adoption of AI. Through his work at OSFI, Patrick has also applied advanced analytic techniques to create both top-down and bottom-up models to understand financial institution vulnerabilities and performance under economic stress. Prior to joining OSFI, Patrick worked as a subject matter expert for external audit, and as a consultant for credit and market risk projects, and the prevention of money laundering through advanced modeling. Patrick holds a Master of Science degree in Probability and Statistics from Carleton University, a Bachelor of Mathematics in Statistics from the University of Waterloo, and a Bachelor of Business Administration in Marketing from Wilfrid Laurier University.

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