The April 2025 report explores the evolving landscape of AI governance, particularly in insurance, where models are critical for underwriting, pricing, claims, and risk management. It stresses the importance of a comprehensive governance framework covering model development, validation, deployment, and monitoring. Purpose-built platforms currently outperform integrated solutions, although consolidation is changing the market. Solutions fall into three categories: hyperscalers, traditional AI governance tools, and generative AI-focused platforms. Effective governance must address data privacy, bias mitigation, and regulatory compliance throughout the model life cycle .

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