AI & Machine Learning

A "uniform loss ratio" test can eliminate bias in underwriting and open the way for truly individualized, AI-driven assessments of risk.

Machine learning, social media and aerial imagery, relying on massive amounts of new data, can change the game on insurance fraud.

Thanks to recent technological advances, risk management is about to get a long overdue upgrade.

Augmented automated underwriting, or AAU for short, is destined to become one of the key talking points in insurtech.

So far, the main areas of AI use in insurance include customer experience, process optimization and product innovation.

In communications with customers, voice-to-text technology provides AI with the necessary data to pinpoint areas for strategic investment.

Here are key insights on how to best use chatbots in the quote-and-buy process for customers.

People are afraid of what AI will be tomorrow but based on present-day terms -- and the industry is sure to change.