BLOGAnnounced at MongoDB.local NYC 2024: A recap of all announcements and updates — Learn more >
white paper

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.


More like this

View all resources
chevron-right
general_action_read

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.

general_action_read

Helvetia Accelerates Cloud-Native Modernization by 90%

Helvetia migrated from Amazon DocumentDB to MongoDB Atlas. The result: new application features are released 90%+ faster.

general_content_play

Usage-Based Insurance Demo With MongoDB and Databricks

A quick, easy-to-follow video building a usage-based insurance demo with MongoDB and Databricks.