The marcus evans 25th Edition Model Risk conference taking place on 13-15 November, 2024 in New York will offer delegates a deep dive into the latest strategies for enhancing AI models while mitigating risks and improving model inventory. Participants will explore techniques for preventing failures, optimizing model inventory, and strengthening internal collaboration to maximize the model portfolio and definition while ensuring regulatory compliance is maintained, enhancing their approach to critical models and model lifecycle management. By focusing on these areas, delegates will gain actionable insights to enhance their approach to models, improve model lifecycle management, and ensure sustained regulatory compliance.
Key Topics include:
- Explore the impact of Gen AI on real-time model development and its implications on explainability and validation
- Prepare for regulatory reviews by navigating SR11-7 compliance and future expectations
- Enhance model inventory governance through effective documentation and ownership across functions
- The New Boundaries of Model Risk Management: Expand MRM to Embrace EUCs, Complex Algorithms, and LLMs
- Ensure Responsible AI management balancing innovation, risk mitigation and governance
- Bridging the gap in model inventory: overcome classification challenges and explore the distinction between models and non-models
Best Practices and Case Studies from:
- William Longstreth, Director, Model Validation Head, MUFG
- Amit Srivastav, Managing Director, Morgan Stanley
- Lee Medoff, Head of Model Governance, Fifth Third Bank
- Piero Monteverde, Assistant Chief Model Risk Officer - Co-Head of Model Validation and Model Governance, Capital One
- Manish Chakrabarti, Head of Model Governance, Vanguard
- Hakan Gogtas, Head of the US Model Validation, Deutsche Bank
For more information please contact Ria Kiayia at riak@marcusevanscy.com or visit: https://bit.ly/4erpJuU
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