Insurance
AI for Insurance
Hear directly from our customers.
In this Technical Track session at H2O World Sydney 2022, SimplyAI's Chief Data Scientist Matthew Foster explains his journey with machine learning and how applying the H2O framework resulted in significant success on and off the race track.
Overview
AI Transformation in Insurance
For insurance companies finding and building customer relationships and managing risks are key to creating a growing, profitable business. Companies that are making extensive use of AI are reaping the benefits of increased customer satisfaction and loyalty while decreasing fraud which adds to their bottom line. These companies are using AI for a number of scenarios including risk management, fraud detection, customer retention, and optimized marketing. H2O.ai, the open source and automation leader in AI, is empowering leading insurance companies to deliver AI solutions that are changing the industry.
AI Use Cases
Insurance providers are using AI across several use cases that aim to accelerate their business and improve the customer experience.
Customer Expansion
Next best offer
Personalized outreach
Lifetime value of a customer
Underwriting
Business segmentation
Risk segmentation
Automated application scoring
Fraud
Application fraud detection
Claims fraud and abuse
Claims loss
Customer Experience
Customer churn
Customer 360
Call routing
Claims management
Related Case Studies
AI and ML touch every point of the insurance value chain and are value enablers.”
Chris Madsen, Co-founder and CEO, Aegon Blue Square Re
Conner Jensen
Analytics Program Director, Zurich Insurance
"The ability to do advanced analytics and do more work across the data is going to be the differentiator for insurance companies going forward. "