Blog

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.

Originally published in the Actuarial Post, Montoux's Stephen Carlin and Shelley Cox partner with PwC UK's Peter Heffernan and Ewen Tweedie to analyze a recent survey of UK life insurance pricing teams.

Think this sounds too good to be true? We’re here to tell you it’s not.

Montoux recently joined fellow AWS Partners FINEOS and Verisk on an Amazon Partner Network (APN) TV virtual roundtable discussion on how insurers can better utilize data and analytics to drive innovation and sustainable growth.