AI and Hyper-Personalization for the Insurance Industry
Artificial intelligence impacts personalization for insurance through predictive analytics that can be used to tailor insurance offerings to individual policyholders
Scott Horwitz
Scott Horwitz has more than 30 years of experience in analytics and decision management at FICO. Scott has worked across the organization in delivery, product management, research and sales roles focused on FICO’s capabilities in the Insurance market. Scott has worked with insurance companies in the US, Canada, Brazil, UK, Belgium, Germany, and India. Currently, he is focused on bringing the full capabilities of FICO Platform to the insurance industry. Scott has a B.S. in Mathematical Sciences and a M.S. in Operations Research from Stanford University.
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For Asia’s Insurance Sector, It’s Digitize or Die
Asia’s insurance sector is at the front line of new era of wealth generation - the winners will be the insurers that have their digital transformation “house" in order
How to Increase Claims Processing Automation – 5 Questions to Ask
Automating claims processing right can help you reduce costs, improve outcomes, and assure patient and stakeholder satisfaction - here's how to think about it
How to Improve Patient Centricity for Commercial Health Plans
The advantages of a holistic, member-centric approach to healthcare are clear - as are the impacts of the failure to achieve member centricity
Business Simulation for Insurance: Best Practices and Getting Started
Business simulation can provide both the experimentation and the guardrails helping insurance companies explore multiple paths to success
Claims Automation for Health Plans: Transformation with a Small “t”
By focusing on transformation with a small “t” that addresses measurable performance gaps, health plans and administrators can use claims automation to control costs and risk
Reducing Health Care FWA Losses - Find Your Focus
A key component of stopping fraud, waste and abuse is to focus on your most productive targets: Who or what should be the focus of your payment integrity program?
How AI and Machine Learning Can Fight Health Care Fraud
AI and machine learning have become popular concepts in payment integrity. But how can they help reduce your losses to health care fraud, waste and abuse?
Who Should Be Responsible for Health Care Payment Integrity?
Given the negative impact of fraud, waste and abuse on health care, it’s in every payer’s interest to focus on these problems.
Reducing Health Care Fraud, Waste & Abuse: How Much Is Enough?
So how does a health care payer measure success in payment integrity? How much is enough?
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