From Relational Databases to AI: An Insurance Data Modernization Journey

This article discusses an insurance company's journey from relational databases to AI-powered applications. The main challenge faced by the data architects and engineers is the outdated legacy systems built in the 1970s and 1980s, which are difficult to maintain and hinder innovation. MongoDB offers solutions for modernizing these legacy systems, improving operational efficiency, and building AI-powered applications that integrate with large language models (LLMs). The journey involves assessing data sources, refactoring relational data into MongoDB collections, vectorization and querying of unstructured data, and retrieval augmented generation (RAG) for natural language interaction with the data. By using a Converged AI Data Store, insurance companies can unlock various use cases and efficiency gains, enabling them to keep up with industry demands.