In an increasingly data-driven world both the data being available to actuaries in their daily work as well as the toolbox of algorithms grow significantly. This is because new sources of data are open for actuarial work, like geo-risk data on granular levels, data from sensors and all kinds of IoT devices, health trackers, telematics data etc. On the algorithmic side, methods from the area of analytics, predictive modelling and machine learning as well applications in the area of artificial intelligence (ML in the following). These methods also extend the field of activity of actuaries, e.g. into the field of customer behaviour analytics.
Within this brave new world actuaries must maintain the highest professional standards of data and algorithmic quality. This means that there has to be a systematic management of input data as well as of algorithmic quality throughout actuarial procedures.
Registration deadline: 18 February 2021
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