How Banks Are Winning With AI and Machine Learning

In many institutions it was this need that drove the risk function to spearhead the first data warehousing projects and to sponsor the acquisition of the first statistical modeling tools. As the de facto centers of excellence for quantitative analysis, these groups began to be called on for help quantifying other types of risk (fraud, money laundering, market risk, operational risk, prepayment risk, and cyber risk to name a few).
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