The AI in Business Podcast Translating AI Models into Business Value From Governance to Deployment - Thomas Holmes of Akur8
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Jan 21, 2026 Thomas Holmes, Chief Actuary at Akur8, dives into the crucial intersection of AI, governance, and insurance analytics. He discusses how to shift from AI experiments to effective enterprise deployment while balancing the needs of regulators and business leaders. Holmes contrasts U.S. and European regulatory approaches to pricing and emphasizes the importance of transparency in model decisions. He also advocates for streamlined governance through a single source of truth to enhance collaboration and reduce errors, all while focusing on ROI and strategic differentiation.
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Translation Bridges Stakeholders And Regulators
- Regulators and company stakeholders ask the same core questions: what you did, why you did it, and that you did it right.
- Thomas Holmes says translation between actuarial, IT, and leadership is essential to answer those questions.
Regulatory Differences Shape Model Design
- Insurance pricing regulation differs by region; Europe allows more complex models while US restricts certain variables.
- Thomas Holmes notes transparency and stability are becoming necessary despite regional differences.
Stabilize Features Before Deploying Rates
- Use freely gathered features for modeling but ensure those features are stable before deployment.
- Prioritize transparent rates for deployment to avoid regulatory and customer headaches, Thomas Holmes advises.