Milliman:2026年建立公平和准确的预测模型:现代保险的跨学科必要性(英文版).pdf |
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Artificial intelligence (AI) has moved quickly from "interesting demo" to "Board level question." For actuarial organizations, the most important conversation is no longer whether AI can draft text, write code, or summarize data. The real question is how AI changes expectations, controls, talent development, and accountability for conclusions that influence pricing, reserving, capital management, and strategic decisions. Two practical starting points for leaders are: (1) t
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