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Originally shared by AWS, Montoux's Klaas Stijnen and AWS' Ben Meyvin explain how Montoux's AI-driven model replication capability, powered by AWS, can transform life insurers' model replication process - completing it in weeks instead of months. Check out the details, and further use cases, in this blog.

Originally shared in Forbes, Montoux's Geoff Keast explains how insurers can modernize their decision making process for success.

Leveraging a Decision Science platform, insurers gain the ability to effectively plan, predict, and react in new business sales processes as well as rich, holistic decision making capabilities as a result.

Decision Science empowers providers to better understand the drivers of hospitalization and readmission, improving intervention success, benefit design, and financial projections.

Life insurers' yearly experience study process is costly, time consuming, and inefficiently siloed. Automation cuts the workflow from months to days while improving the value, insights, and decisions life insurers can gain.

Originally in Forbes, Montoux's Geoff Keast explains why human expertise is still an essential component of the automated decision making process.

Decision Science offers an opportunity for actuaries to become more strategically oriented and insights-driven, rather than compliance-driven.

Adopting a Decision Science approach to MedSupp pricing is an effective way to optimize pricing to achieve an insurers’ specific business goals and objectives.

Montoux's Julian Balasingam explores how AI-driven decision making will transform the way life and health insurers approach strategy, growth, and customer centricity.