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Balancing Innovation and Risk: Navigating AI/ML Challenges with MRM

Presented by

Jarrod Vawdrey Chief Field Data Scientist, Domino Data Lab

About this talk

AI technology advancements have outpaced the capabilities of legacy model risk management (MRM) systems, leaving critical vulnerabilities that can jeopardize compliance and result in financial losses and reputational harm. As financial institutions, banks, and insurance companies rely more on sophisticated AI/ML models to make decisions, modern MRM technology has become critical to managing the lifecycle of models —ensuring a swift and dependable process — without stalling innovation. Watch this webinar and you’ll uncover: - The limitations of traditional MRM systems and why they fall short in managing the complexities of modern AI/ML models. - How advanced MRM technologies can seamlessly integrate into your institution's framework, mitigating unseen risks and protecting your organization. - Strategies for aligning AI/ML models with your institution’s risk appetite, preventing compliance issues, and financial setbacks. - Ways to balance successful risk mitigation and AI/ML innovation, while maintaining your institution's competitive edge.
Domino Data Lab

Domino Data Lab

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The Enterprise AI platform powering over 20% of the Fortune 100
Domino powers model-driven business for the world’s most advanced enterprises, including over 20% of the Fortune 100. Our Enterprise MLOps platform speeds up the development and deployment of data science work while increasing collaboration and governance, to scale data science into a competitive advantage. Our platform enables thousands of data scientists to develop better medicines, grow more productive crops, adapt risk models to major economic shifts, build better cars, improve customer support, or simply recommend the best purchase to make at the right time.
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