Maine-et-Loire
Classification problem in liability insurance using machine learning models: a comparative study
The insurance company uses different factors to classify the policyholders. In this study, we apply several machine learning models such as nearest neighbour and logistic regression to the Actuarial Challenge dataset used by Qazvini (2019) to classify liability insurance policies into two groups: 1 - policies with claims and 2 - policies without claims. The applications of Machine Learning (ML) models and Artificial Intelligence (AI) in areas such as medical diagnosis, economics, banking, fraud detection, agriculture, etc, have been known for quite a number of years. ML models have changed these industries remarkably. However, despite their high predictive power and their capability to identify nonlinear transformations and interactions between variables, they are slowly being introduced into the insurance industry and actuarial fields.
La veille de la cybersécurité
The discovery of thousands of undeclared private swimming pools in France has provided an unexpected windfall for French tax authorities. Following an experiment using artificial intelligence (AI), more than 20,000 hidden pools were discovered. They have amassed some €10m ($9.9; £8.5m) in revenue, French media is reporting. Pools can lead to higher property taxes because they boost property value, and must be declared under French law. The software, developed by Google and French consulting firm Capgemini, spotted the pools on aerial images of nine French regions during a trial in October 2021.
Thousands of undeclared private swimming pools in France are uncovered using AI technology
France experienced its worst drought on record last month, and officials have since been cracking down on conserving water. Now a new artificial intelligence (AI) technology could be added to their arsenal, after it successfully uncovered 20,356 illegally-built private swimming pools. The country's tax authority announced yesterday that the system allowed it to collect about €10 million (£8.5 million) from homeowners who failed to report the facilities. Developed by Google and Capgemini, the AI software was trained to spot pools in aerial images of nine French departments. The results of a trial run last October were then cross-checked with land registry databases, before Direction generale des Finances Publiques (DGFiP) took action.