Master AI governance: Align innovation with risk mitigation

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Presented by

Brandon Purcell VP & Principal Analyst, Forrester and Theo Linnemann Associate Data Scientist, Federal Reserve Bank of NY and Kjell Carlsson, Ph.D. Head of AI Strategy, Domino

About this talk

As AI adoption accelerates, your organization must be ready with future-proof and effective governance frameworks that drive innovation and risk mitigation across industries. This on-demand webinar is designed to offer risk, compliance, IT, data science, and analytics teams insightful strategies on navigating governance complexities — enabling you to transform them into a swift and dependable process. You’ll hear real-world governance approaches from guests and thought leaders such as Forrester, the Federal Reserve Bank of New York (FRBNY), and Domino Data Lab — and discover how to: - Craft and implement governance policies that meet multi-jurisdictional and organizational requirements, including unique considerations for Generative AI (GenAI). - Assign accountability within AI governance structures, ensuring seamless operations and clear oversight. - Uncover key metrics to evaluate the effectiveness of your AI governance framework, optimize business value, and enhance AI project visibility.
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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.