Aplicación de machine learning como elemento de innovación para la predicción del comportamiento humano en el servicio de seguros Caso de estudio: Asertec Seguros S.A.

Abstract

Abstract: This project consists of proposing the application of machine learning as an element of innovation for the prediction of human behavior in the insurance service in the company Asertec S.A.; Through machine learning, disease risks can be predicted for members who have health care insurance. This research is developed from the establishment of a state of the art, identifying the business opportunity, creating the minimum viable product, putting together the business model and finally determining the strategies to evaluate the viability of the proposal. For this, there is a web platform that allows customer service advisors to anticipate claims and offer a personalized service. There is also a mobile application where the client can predict disease risks based on their medical history, more than providing you with additional services such as benefit reminders, treatments, medical consultations, among other options. The development of the business idea defines that the project is feasible, the same as that recommended for implementation at Asertec Seguros S.A.