AI & Machine Learning

As insurance executives plan their AI investments, here are some best practices that will help to ensure successful business outcomes.

This whitepaper explains how using Halo-based AI minimizes insurance fraud, increases automation, lowers false-positive rates and delivers excellent financial results.

Insurance is moving toward a world in which carriers will not be allowed to make decisions that affect customers based on black-box AI.

In this week's Six Things, Paul Carroll highlights what AI doesn't do. Plus, how to improve the customer experience; the evolution of frictionless payments; underwriting small business post-COVID; and more.

To keep us from getting carried away, it's good to look from time to time at the failures of AI to live up to the projections -- and COVID is a prime example.

Insurers can use dynamic systems to create and deploy new rating structures attuned to market conditions and consumer needs.

Today’s AI algorithms are built using training data that is often old and inaccurate, which can unfairly boost insurance rates for some.

Using synthetic data means important analysis and innovation can be done without associating particular people with their medical records.