Case Study: Nationwide Insurance achieves faster, more accurate member protection with H2O.ai

A H2O.ai Case Study

Preview of the Nationwide Insurance Case Study

Nationwide Insurance Delivers Exceptional Protection for Members with H2O.ai

Nationwide Insurance, a Fortune 100 insurance and financial services company, needed more flexibility to work across a complex data environment and to rapidly explore data and prototype models for personalized member services, fraud detection, retention and other use cases. To meet these challenges they turned to H2O.ai, leveraging H2O-3 open source and H2O Driverless AI to accelerate model development and deployment.

H2O.ai enabled Nationwide’s centralized data science team to build a patented Model Factory and rapidly engineer features and prototype models for customer 360, churn, retention, fraud, underwriting and more. As a result, Nationwide achieved more accurate, stable and statistically unbiased models trusted in production, reduced time to prototype, realized savings in the millions and scored 25 billion models using H2O.ai.


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Nationwide Insurance

Shannon Terry

Vice President, Predictive Analytics


H2O.ai

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