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Explainable boosting machines (EBM) algorithm for use in financial crime processes

Explainable AI: unlocking value in FEC operations

Adherence to AML regulations within the EU has ensured that financial institutions generate a constant stream of financial crime risk signals from various processes (e.g. Transaction Monitoring, client due diligence reviews). Contrary to industry standard black box models, Explainable predictive models can help to streamline the operational processes to address these risk signals by allowing insight into individual case risks, based on historical information.