Market Intelligence for Modeling & Ratemaking
AI is turning market intelligence from “interesting context” that is painful to extract into lightning fast, robust, model-ready info for P&C pricing and ratemaking. This session shows how modern filings/rate extraction can be operationalized to rapidly benchmark your book against competitors, quantify market position and change dynamics, and feed those signals directly into modeling workflows. We’ll highlight both the conventional ideas that were historically impractical at scale—and the newer, more exotic applications that only become possible when AI can parse and structure vast, messy market information. The result goes beyond discovery: it strengthens objection handling, sharpens the story behind your indications, and accelerates the path to filing-ready decisions.
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Market Intelligence for Modeling & Ratemaking
AI is turning market intelligence from “interesting context” that is painful to extract into lightning fast, robust, model-ready info for P&C pricing and ratemaking. This session shows how modern filings/rate extraction can be operationalized to rapidly benchmark your book against competitors, quantify market position and change dynamics, and feed those signals directly into modeling workflows. We’ll highlight both the conventional ideas that were historically impractical at scale—and the newer, more exotic applications that only become possible when AI can parse and structure vast, messy market information. The result goes beyond discovery: it strengthens objection handling, sharpens the story behind your indications, and accelerates the path to filing-ready decisions.
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Learn more about the speakers
Max Martinelli
Max Martinelli is a Managing Director in the Insurance and Actuarial Advisory Services practice of EY, where he focuses on P&C pricing, actuarial data science, applied AI and external rating. He has over a decade of experience in actuarial and data science roles, primarily in predictive modeling for personal and commercial lines, and a background in machine learning and computational mathematics. A dedicated collaborator with the Casualty Actuarial Society, he co-designed and led the CAS AI Fast Track bootcamp and co-hosts Almost Nowhere, the CAS Institute podcast exploring AI and data science in insurance.
Sergey Filimonov
A regular speaker at CAS conferences, Sergey translates AI into actuarial practice for carriers nationwide. His essays on AI have been reshared well beyond insurance—by Google's executives, the founder of Llama-Index, and other industry leaders—highlighting his standing as a cross-sector authority on AI. Before Matrisk, he scaled production ML models across Honda’s U.S. operations.
