Founded in 2000, Beijaflore is an operational consulting firm specialising in digital strategy with an international presence and offices in Paris, Brussels, Rio de Janeiro, Sao Paulo and New York. The Group has brought together over 1,250 employees around a single mission: supporting companies in implementing their digital strategy.
With its Graphene Advisory entity, Beijaflore assists companies in the valuation of their data through Artificial Intelligence projects. By offering complete solutions, from the identification of use cases to the development of the solution and its deployment, Graphène Advisory brings companies to create their business of tomorrow. These solutions are based on Machine Learning and AI based on flexible, modular and scalable architectures called Big Data architectures. Today, banks face a major challenge: predicting losses and their distributions as part of their exposure to credit risk. They have internal models for calculating risk parameters such as: Probability of Default, Loss Given Default, …. These mathematical models, which do not take into account the effects of contagion and correlation, become more and more difficult to calibrate, to use and to maintain. The use of machine learning algorithms appears as an alternative to these models. They make it possible to exploit all the collected data related to the risk to better define it and to master it.