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Unlock the power of model ops: orchestrating your success in risk management
The panel:
- Terisa Roberts, Director and global solution lead, risk modelling and decisioning, SAS
- Stephen Tonna, Senior banking solutions adviser and risk lead, Asia-Pacific (Apac), SAS
- Juyoung Lim, Apac model risk officer, Bank of America
- Anthony O'Connor, Senior lead, global model risk governance, HSBC
- Mohan Sharma, Head of credit risk, ICICI Bank
- Moderator: Catherine Law, Partner and New Zealand national leader, risk advisory, Deloitte New Zealand
This webinar brings together experts in the field of risk management to discuss the role of artificial intelligence (AI), and machine learning, in enhancing risk modelling and end-to-end model ops for risk models.
The discussion focuses on the major topics of risk modelling, including regulatory compliance, model risk management, providing an easy-to-use development environment and improving efficiency in model development, including deployment. The panellists explore the challenges and opportunities presented by AI and machine learning in risk modelling, including the need for a solid foundation of data, a methodology and the importance of incorporating resiliency into model ops.
The webinar includes a fireside chat focusing on the collaborative nature of risk modelling.
Key topics discussed:
- Navigating the future of risk modelling
- Model ops, and how it can be incorporated into risk modelling to ensure accuracy and effectiveness
- How emerging technologies, such as AI and machine learning, are being used in risk modelling today
- How model ops can be addressed through best practice and collaboration between chief risk officers, senior risk managers and modellers/data scientists
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Copyright Infopro Digital Limited. All rights reserved.
You may share this content using our article tools. Copying this content is for the sole use of the Authorised User (named subscriber), as outlined in our terms and conditions - https://www.infopro-insight.com/terms-conditions/insight-subscriptions/
If you would like to purchase additional rights please email info@risk.net