The adoption of machine learning (ML) in fighting financial crime will likely explode as technology solutions become more effective and efficient—driven by work-stream prioritization, product maturity, and refinement of implementation processes. Such was the key takeaway from a recent survey, “The Evolving Role of ML in Fighting Financial Crime,” conducted by Guidehouse Inc. and Compliance Week in partnership with the International Compliance Association (ICA).
