Analytics

Insurance technology is a hot commodity and vendors are consolidating. It's as good a time as any for the industry to reflect on the best work.

Typical actuarial modeling environments incorporate many technical components beyond the calculation engines that perform projections.The effectiveness of the actuarial function depends, to a large extent, on how those components are linked.

Machine learning and artificial intelligence libraries are now getting robust enough to contribute meaningfully smart or learning bots into the mix that can do a bit more than rote button pressing and reading screens.

Technologies such as predictive analytics are not a slam-dunk. The business needs to decide exactly what kind of data matters, and how this may change day to day.

Building a data warehouse with a single data model that supports the whole business is notoriously difficult, with a success rate that drops as the amount of data and number of lines of business get larger.

CEO Tom Wilson and other execs provide a window into how big insurers take digitalization front-and-center.

We are now entrenched in a digital revolution that is powered by these maturing and emerging technologies.

Research from the company finds that 31% of insurance companies are already using wearable technology to engage customers, and two-thirds expect broad adoption of the technology within two years.

The user experience can make or break an application. Here are five ways to measure whether it’s positive or negative.

Workers comp insurer intends to automate processes and enhance its capabilities for agent and customer service.