Compared with traditional techniques, state-of-the-art machine learning algorithms can substantially improve the forecasts of mortality rates.

Compared with traditional mortality models, machine learning algorithms can significantly improve the forecasts of future mortality rates.

Using a hybrid model for health claim email filtering could significantly reduce customer support workload, while maintaining a satisfactory response quality.

Current inflation rates are likely to be the highest seen for a generation, and the ensuing effects could have a profound impact on life insurers.

With scarce actuarial resources, insurers can adopt lean manufacturing principles to further accelerate the digital transformation of the risk function.

As the 2020 wildfire season exceeds historical norms, California insurers and policymakers are looking for durable solutions to extinguish the threat of a homeowners’ insurance crisis.

With the abundance of data and analytical resources, how important is it for insurance carriers to develop and maintain those resources in-house? Sheri Scott answers this and other questions in this Q&A.

Milliman consultants Nancy Watkins, Matt Chamberlain, Peggy Brinkmann, and Sheri Scott discuss how predictive analytics can uncover value in new and expanding data sets, helping improve pricing, underwriting, and profitability.

How Milliman used analytics to develop a predictive app for a transportation provider.

Learn how predictive analytics differ from other approaches to data—and how it can help your business.

Enterprise risk management is evolving, and as insurance companies have moved through time, there has been greater ability to control information in a more sophisticated way.