Combination of diverse types of data for analytics in insurance and legal contexts

Davvetas Athanasios

Abstract:

This project aims to create models for combining diverse data sources for data analysis suited to insurance and legal challenges. It will lead to the prototyping of novel solutions targeting insurance and legal experts, allowing them to make informed decisions by taking advantage of a multitude of open and proprietary data. Such data will include news feeds, social media, insurance sources and photographic evidence, as well as weather and other environmental data. The prototype models will lead to the improved enforcement of insurance policies and aiding the risk assessment in case of sea incidents. The data products extracted by combining diverse data sources are expected to lead to the establishment of a testbed capable of providing experience to field experts in damage control using different scenarios (hypothetical or real), as well as to enable high-quality quantitative evaluation of the proposed methods and algorithms.

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