This project aims to develop and implement an AI-powered predictive model to detect fraudulent claims in the auto insurance sector. By leveraging machine learning techniques, the goal is to enhance ...

Auto insurers could potentially use artificial intelligence to improve risk segmentation but some of the newer modelling techniques may not be a good fit with the way rates are currently regulated, a ...

It is important to have effective verification and validation to meet the auto industry’s increasingly stringent requirements relative to time, budget and quality, especially at the current juncture, ...

From a model-building perspective, we propose a paradigm shift for fitting over-parameterized models. Philosophically, the mindset is to fit models to future observations rather than to the observed ...

Assessing the impact of the coronavirus pandemic on a customer's credit standing is similar to a dean of admissions judging prospective college students: the more information they have, the faster a ...

Abstract: This paper considers computer modelling of a single-loop linear control system with an auto-tuning module. A short review of the modelling software is given, the advantages of SimInTech are ...