Competitive Intelligence for Modeling & Ratemaking
AI is turning competitive 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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Competitive Intelligence for Modeling & Ratemaking
AI is turning competitive 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.
Learn more about the speakers
Max Martinelli
Max Martinelli is a Lead Actuarial Data Scientist at Akur8, where he spearheads machine learning initiatives for P&C pricing for the North American market. With a background in predictive modeling, actuarial analytics, and computational mathematics, Max brings both technical depth and practical expertise to his clients. A dedicated collaborator with the Casualty Actuarial Society, he has played a key role in advancing AI initiatives—co-authoring and leading the CAS AI Fast Track Bootcamp and co-hosting Almost Nowhere, the CAS Institute’s new 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.
