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The Road to Embracing App-Driven Analytics, AI/ML, and LLMs for Insurance

Traditional data analytics strategies used in insurance are too slow for the digital age.

This paper presents an alternative, App-driven Analytics, that empowers insurers to deploy the vast amounts of existing and new data at their disposal to streamline the way they do business and transform the customer experience.

This paper will explain why:

  • The data warehouse is too slow for today’s business environment.

  • Analytics, AI-powered insights, and automated decision making is “shifting left” - from back-end processes into business applications.

  • The complexities of legacy processes often diminish, and sometimes completely negate, the value of AI/ML efforts.

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Build a ML-Powered Underwriting Engine in 20 Minutes

Step-by-step instructions on how to build the data upload and transformation pipeline leveraging MongoDB Atlas and Databricks.