Predictive modeling

The shortcomings of emerging "climate services" are concerning to some observers.

The predictive model is powered by AI analysis based on data from over 1,500 wildfire losses.

How do you maximize efficiency in the application, quoting, and claims process and not invite new or additional fraudulent activity?

One example of a typical deep learning application is pattern recognition applied to digital images.

Current actuarial techniques are good at quantifying in the aggregate – but less so in the detail.

Research shows rapid adoption of predictive algorithms and digital identity technology will stem the pandemic-driven fraud deluge. Insurance fraud causes more than $80 billion in losses annually in the U.S. alone, according to the report.

To understand how the idea of dynamic risk assessment works, we first need to unlearn certain assumptions.

Brakes on hurricane development from dry Sahara air and El Nino winds are gone, weather experts say.

A new study finds that within the next two years, all large and midsize carriers will use predictive analytics in their group life operations, while nearly half of small insurers will deploy similar capabilities.

Launched in New Jersey, the insurers’ first foray into the line of business focuses on reducing friction in the buying process.