RISK SOLUTIONS
Analytics
Artificial intelligence (AI) is rapidly transforming the insurance industry, streamlining processes, and improving efficiency, particularly in claims management.
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.
In increasing operational complexity within the calculation chain, it has become critical to assess the sensitivity of output results to individual assumptions and inputs involved.
Big data, combined with the increased usage of machine learning algorithms, allows the life insurance industry to model the surrounding world much more effectively than in the past.
Why are actuaries starting to use Python programming? Learn more in this briefing note.
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.
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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.
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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.
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What does it take to develop a truly resilient risk culture?
