Artificial Intelligence is Transforming the World Development Indicators

Abstract

Many countries and international organizations gather lots of Key Performance Indicators (KPIs) to assess local and/or global development progress. Using these KPI datasets, domain experts apply many statistical tools to extract knowledge and generate recommendations. As the world increasingly approaches globalization, more interdependence development is formed leading to complex development formulas. Artificial Intelligence (AI) is almost transforming all industries, and hence can be used to expand domain expert's capabilities to understand and manage the complex development formulas. This work utilizes AI and Machine Learning (ML) in the World Development Indicators (MDIs) databases to extract data patterns. In summary, this work performs the following: identify the most important indicators, i.e., informative, discriminating and independent indicators. Identify the common properties or characteristics of different development plans and hence cluster them to understand their trend and behavior. Create prediction models to predict the development projection. The created prediction models then can be used to perform guided efficient development plans to attain sustainable developments.