Javier Díaz-Cely received the B.Sc. degree in computer engineering from Pontificia Universidad Javeriana, Cali, Colombia, the master’s degree in artificial intelligence, pattern recognition and applications and the Ph.D. degree in informatics from Sorbonne Université, and the master’s degree in corporate finance from the Conservatoire National des Arts et Métiers, Paris, France. He is currently the Chief Analytics Officer of MO Technologies, a Fintech that aims at revolutionizing the credit scoring industry and promoting financial inclusion, by giving everyone, independently from their credit history, the possibility to access nano and micro loans in a simple and effective way, leveraging innovative credit scoring through the use of alternative data sources. He believes that business analytics offers an incredible set of tools that enable organizations to achieve strategical goals by optimizing processes, solving problems, and discovering new and disruptive opportunities of creating value from data. With more than 15 years of experience in the field of artificial intelligence in France and Colombia, he has gathered considerable experience applying machine learning to real-world problems in several sectors, such as banking and finance, telecommunications, retail, health, and education, either working directly for a company (Orange France Télécom, Sociéte Générale, Banco Falabella) or as a Consultant (Altran, Icesi University). He has also had the chance to work as a University Professor and Applied Analytics Researcher, first as a part of the LIP6 Laboratory, Paris. He was the Director of the Master’s in Data Science Program, Universidad Icesi, where he is also a Faculty Member of the School of Engineering.