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H2O.ai > Case Studies > Nationwide Insurance Delivers Exceptional Protection for Members with H2O.ai
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Nationwide Insurance Delivers Exceptional Protection for Members with H2O.ai

Technology Category
  • Analytics & Modeling - Machine Learning
  • Analytics & Modeling - Predictive Analytics
Applicable Industries
  • Finance & Insurance
Applicable Functions
  • Business Operation
  • Sales & Marketing
Use Cases
  • Predictive Maintenance
Services
  • Data Science Services
The Challenge
Data is everywhere at Nationwide and the company wanted more from the data they had to find new ways to provide more personalized service and response to their members. To achieve this goal, Nationwide needed an AI platform that allowed them the flexibility to easily work in a complex data environment to rapidly explore data and quickly prototype new models.
About The Customer
Nationwide Insurance, a Fortune 100 company based in Columbus, Ohio, is one of the largest and strongest diversified insurance and financial services organizations in the United States. The company, industry leader in driving customer-focused innovation, is using H2O-3 open source and H2O Driverless AI to deliver exceptional customer experiences, reduce fraud and contribute to the bottom line.
The Solution
Nationwide created a centralized data science team that has built a unique, patented Model Factory to monitor all of their AI and ML models for all parts of their business. By using H2O.ai, this agile team was able to rapidly explore data with feature engineering and prototype models related to customer churn, customer retention, call routing, risk segmentation, business segmentation, fraud, underwriting, customer expansion, customer 360 and more.
Operational Impact
  • H2O.ai helped Nationwide to ensure that they are providing stable, statistically unbiased models that can be trusted in their production environment.
  • With Driverless AI, Nationwide was able to achieve their goal of delivering exceptional member services by having a better understanding of changes within households, retention and churn of members.
Quantitative Benefit
  • Savings in the millions
  • Less time spent to prototype new models
  • 25B models scored

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