Master AI governance: Align innovation with risk mitigation
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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.
Featured Speakers
Brandon Purcell
VP & Principal Analyst, Forrester
Brandon specializes in customer analytics and artificial intelligence, helping organizations extract insights from data to boost customer retention, loyalty, and profitability. His work focuses on responsible AI strategies. Before Forrester, he led a data science team, using predictive modeling and text analytics to solve business challenges. His projects included a voice-of-the-customer program for a major retail bank and a patented geospatial algorithm. His research has been featured in Bloomberg and Forbes. Brandon holds an MBA from U.C. Berkeley and a BA from Dartmouth College, and he served as a Peace Corps volunteer in Benin.
Theo Linnemann
Associate Data Scientist, Federal Reserve Bank of NY
Theo Linnemann has been an integral part of the Data & Analytics Office at the Federal Reserve Bank of New York (FRBNY) for 7 years. In addition to leading the initiative to bring Domino to FRBNY for data science development and model deployment, Theo's expertise in defining and managing governance policies, as well as determining governance roles, responsibilities, and processes, have helped FRBNY establish centralized, streamlined governance and remove IT burden.
Kjell Carlsson, Ph.D.
Head of AI Strategy, Domino
Kjell Carlsson is the head of AI strategy at Domino Data Lab where he advises organizations on scaling impact with AI technologies. Previously, he covered AI, ML, and data science as a Principal Analyst at Forrester Research. He has written dozens of reports on AI topics ranging from computer vision, MLOps, AutoML, and conversation intelligence to augmented intelligence, next-generation AI technologies, and data science best practices. He has spoken in countless keynotes, panels, and webinars, and is frequently quoted in the media. Dr. Carlsson is also the host of the Data Science Leaders podcast and received his Ph.D. from Harvard University.
