According to a study by J.D. Power & Associates, 46% of customers who own a bundle of insurance services say they “definitely will” renew with their provider vs. 28% of non-bundle policyholders. With a large variety of products to choose from, the pressure to retain customers, and consumer expectations for personalized treatment, marketing and selling generic products is no longer an option. For insurance companies this means finding the right products to cross-sell into customers is critical for success.
AI is well known for helping to recommend products and drive personalization on retail sites and customers have come to expect personalized experiences. According to an Accenture study, more than 80% of insurance customers are looking for more personalized experiences. AI is equally well suited to recommend products and pricing in insurance. With AI models, insurance companies can determine which products and policy options are the best fit for a given consumer. AI can also determine an individualized price based on consumer behavior and historical data. These recommendations can be used in web-based, call center and agent selling scenarios.
The mission at H2O.ai is to democratize AI for all so that more people across industries can use the power of AI to solve business and social challenges. The insurance industry is a key focus for the company with leading insurance companies including Progressive, TransAmerica, Zurich Insurance helping to drive significant product innovation. H2O Driverless AI is an award-winning platform for automatic machine learning that empowers data science teams to scale by dramatically increasing the speed to develop highly accurate predictive models. Driverless AI includes innovative features of particular interest to insurance companies including machine learning interpretability (MLI), reason codes for individual predictions, and automatic time series modeling.
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"The ability to do advanced analytics and do more work across the data is going to be the differentiator for insurance companies going forward."Watch the Video
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Head of Analytics & Strategy, Tokio Marine Life Insurance
"Generally, at best, we could do things once a month or once a quarter. With H2O, things are more real time and a lot more faster. Rather than people spending resources, managing the databases and running the queries, they can spend time understanding the results and we can interpret it and translate it into proper management actions. "Watch the Video