Explainability is a hot topic. Data Science models are used to trigger recommendations such as “accept” or “refuse” a loan, and the need to answer is arising. Alain Chabrier from IBM DecisionOptimization team uses Portfolion Allocation problem to demonstrate how explainability works with Decision Optimization models. Link