Machine learning is key to individualised insurance

Actuaries have always assessed the past in order to predict the future. However, forecasting the future is very labour intensive; they need to crunch through the numbers and establish the likelihood of death occurring and thereby work out the risk parameters of different products in order to maximise profitability whilst delivering value to the customer. Much of the work involves identifying patterns in the data to explore that can enable them to predict the likelihood of re-occurrence.

It was an extremely time-consuming task and much prone to mathematical error, prior to the arrival of computers with their ability to crunch the numbers at speeds way beyond the ability of a human. Computers took a lot of the donkey work away from actuaries leaving them free to examine the data from multiple angles to derive new insights.

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