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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 “why this recommendation?” is arising. Customers impacted by recommendations are asking “why”, and so some companies are willing to answer, and in some geographies, regulations even prevent applications being used in some areas when explainability is not available.