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Global population life insurance calculation takes less than 2 hours.

According to a calculation run by Willis Towers Watson, the cost of insuring the world’s population has been calculated at approximately $190 trillion, or roughly 2.5 times world GDP*. The calculation, run on the Microsoft Azure cloud platform, involved an analysis of the insurance cost of providing each of the world’s 7.3 billion people with a $100,000 whole-of-life insurance policy and took under 2 hours.

Stephen Hollands, Saas & vGrid Global Product Leader at Willis Towers Watson, said: “This was a fascinating exercise to test cloud computing and software technology to the limit and push the calculation boundaries for insurers. It demonstrates how industrialized risk modelling has become and how much processing power, speed and accuracy insurers have at their fingertips to price their products and manage risk and capital.”

Willis Towers Watson, using Microsoft Azure Batch cloud service, ran the specialized insurance calculation with over 100,000 processing cores in approximately 90 minutes. According to the company, the calculation would have taken 19 years on a standalone computer with a single core. The entire exercise – including a one-off setup and configuration of the customized grid and model, in addition to running the model several times – took less than 24 hours and used data centres around the world including in Japan, India, Europe, Brazil and Australia.

Jonathan Silverman, Insurance Industry Solutions Director at Microsoft Corp., said: “What question is bigger for a life insurance company than figuring out the cost of insuring the entire world’s population? Answering this complex question, in less than 24 hours, is a genuine technological triumph. In addition, the use of just a single programming interface on Microsoft Azure to do it, regardless of the number of cores involved, shows how easy it has become to achieve a level of scalability that was until now only possible through complex coding and intense management input.”

The calculation used RiskAgility FM, Willis Towers Watson’s latest financial modelling tool, which is designed to run complex financial models and hyperscale-sized jobs for life insurers. It also used its new vGrid product, an infrastructure-as-a-service software tool, that allows life insurers to run their models via an on-demand, cloud-based technology grid.

This exercise was possible due to a number of advancements since the 50,000 core run performed by Willis Towers Watson in 2012 in a single-data centre. The advancements include:

  1. RiskAgility FM now being capable of distributing runs across multiple data centres and setups to harness a large array of compute power
  2. The robust backbone of Microsoft Azure which supports highly intensive insurance calculations across global data centres as well as to distribute and collate data
  3. The scalability of Microsoft Azure and RiskAgility FM which harnesses the compute power of 100,000 cores to perform complex analytical calculations

Learn more at www.willistowerswatson.com