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Modernize model risk management without stalling innovation

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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.

Featured Speaker

Jarrod Vawdrey headshot

Jarrod Vawdrey

Chief Field Data Scientist, Domino

Jarrod Vawdrey is a fixture in the data science community, and is Advisor and former CEO of A42 Labs, a leading provider of AI and ML software and services for building, deploying and managing business critical data workloads at scale. Jarrod holds multiple patents in the field of AI and data science.

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Domino Data Lab empowers the largest AI-driven enterprises to build and operate AI at scale. Domino’s Enterprise AI Platform provides an integrated experience encompassing model development, MLOps, collaboration, and governance. With Domino, global enterprises can develop better medicines, grow more productive crops, develop more competitive products, and more. Founded in 2013, Domino is backed by Sequoia Capital, Coatue Management, NVIDIA, Snowflake, and other leading investors.

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