Speaker
Prof.
Franco Moriconi
(University of Perugia and ALEF Advanced Laboratory Economics and Finance srl)
Description
Some applications of big data analytics techniques to the insurance business
Some examples are provided to illustrate how the insurance industry is currently facing the new paradigm of big data analytics. Methodologies for analyzing telematic car driving data are illustrated. In particular, it is shown how pattern recognition and machine learning techniques can be used to derive predictive models useful for car insurance pricing. Moreover, a machine learning application to individual claims reserving is presented. Classification and regression trees techniques are used to realize claim watching, i.e. to predict and control the cost development process of individual claims.
Primary author
Prof.
Franco Moriconi
(University of Perugia and ALEF Advanced Laboratory Economics and Finance srl)
