Artificial intelligence and machine learning for a better decision making in the public sector

Abstract

After the implementation of the advanced regionalization in Morocco, political and public decision-makers will need to be equipped with a set of technological tools to improve decision making. Artificial intelligence systems are generally better at making decisions and predictions using a technique called machine learning. In this article we will discuss a solution to predict outcomes of the different territorial projects of the regional council of Beni Mellal–Khenifra in Morocco. For this a dataset containing 526 conventions was collected, for each one there is at least one project (more than 700 projects). Then, this dataset of project will be processed for the purpose of extracting the most important characteristics which can control the outcomes. Afterwards, a set of classification algorithms will be applied on the available dataset. Finally, a general conclusion will be drawn.