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White Paper

The Road to Embracing App-Driven Analytics, AI/ML, and LLMs for Insurance: Start by Simplifying Your Data Estate

The Road to Embracing App-Driven Analytics, AI/ML, and LLMs for Insurance: Start by Simplifying Your Data…

The Road to Embracing App-Driven Analytics, AI/ML, and LLMs for Insurance: Start by Simplifying Your Data Estate

MongoDB
Pages 18 Pages

This white paper examines why traditional insurance analytics architectures are too slow for real-time AI, machine learning, and LLM-driven applications. Insurers increasingly need instant quotes, dynamic pricing, fraud detection, straight-through underwriting, telemetry-based products, and decisions based on constantly changing risk data. Yet legacy warehouses, lakes, ETL pipelines, relational schemas, and siloed operational systems add complexity and delay. The paper proposes application-driven analytics, shifting intelligence from backend analytical environments directly into transactional applications. MongoDB Atlas combines live operational data, historical information, aggregation, change streams, triggers, search, time series, and integrations with AI/ML platforms. Simplifying the d

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