Machine learning

The most likely outcome is that it will fuel a transformation in the roles and responsibilities assigned to actuaries.

And where can insurers deploy them for the most value?

The goal of every claims organization has been and will remain quickly adjusting a claim at a low cost with high levels of customer satisfaction.

Now more than ever, organizations realize that to manage their unprecedented data growth, a solid data strategy must be front and center for them to survive and thrive.

Looking ahead into the new decade, we will begin to see an acceleration of AI adoption as the lines between data and AI begin to blur.

Nearly two-thirds of carriers surveyed overall are adopting AI and machine learning technology.

Here’s a look at two use-cases for AI in health insurance that are starting to make headway.

The life insurer's DevelopU initiative, an internal university, helped it shift from "what happened" to "why it happened," speakers said.

Data quality and customer-centricity are crucial to getting value from initiatives.

The global value of insurance premiums underwritten by AI have reached an estimated $1.3 billion this year.