The GFMI AI in Risk Management for Financial Institutions conference will explore how AI is reshaping risk management practices, from selecting fit-for-purpose AI technologies and strengthening governance to ensuring high-quality data feeding and regulatory confidence – ultimately turning risk insight into sustainable growth. Learn from real-world case studies, expert-led panels, and interactive sessions covering AI decision frameworks, responsible AI adoption, data quality and integration, workforce readiness, and compliance in an evolving regulatory landscape. Whether you are aiming to improve risk identification, enhance decision quality, optimize operational efficiency, or strengthen cost and risk control, this event delivers practical strategies, governance models, and proven approaches to ensure trusted, effective, and value-driven use of AI in risk management.
Key topics include:
- Choose the right AI for the right Risk Problem: A Decision
- Trust by Design: Embedding Responsible AI into Risk and Decision Processes
- Mitigate bias and enhance explainability to improve oversight and decision confidence
- Proactively identify Risk Detection with AI to enable timely, informed Risk Responses
- Maintain data quality control to reduce errors and enhance the effectiveness of AI risk models
- Build AI-ready skills and teams to ensure the organisation can leverage AI safely and effectively
Best Practices and Case Studies from:
- Sen Selvaraj, Senior Vice President, Technology Risk Advisory, Truist
- Jason Caggiano, Senior Vice President- Non Financial Risk Oversight, Citizens
- Jianjiang Yang, Head of Model Risk Management, Oportun
- Riten Dixit, Head of Financial Risk Management, The Federal Home Loan Bank of Cincinnati
- Shahzeb Kohari, Head of Risk Management, Fannie Mae
- Jaydip Mukhopadhyay, Global Head of Model Risk and AI, American Express
For more information please contact Ria Kiayia, Digital Media and PR Marketing Manager at riak@marcusevanscy.com or visit: https://bit.ly/4tplOqB
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