AI & Machine Learning

For one, transfer learning, in which machine learning algorithms improve based on exposure to other algorithms, will expand its foothold.

The recent advancements in AI and robotics are some of the most significant computer science advancements of our generation.

It’s safe to assume that the potential of AI technologies is overhyped for the near term but underestimated for the long term.|

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.