The wider acceptance and active development of machine learning techniques and data analytics have made it possible to optimize and automate business processes. This presents a lucrative opportunity for banks to redesign their operations to cut processing times and improve transparency. We present the potential of these techniques by applying a machine learning approach to a hidden reserves/losses process that can often be found in the finance departments of banks.
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