Machine learning and artificial intelligence represent the most effective methods of interpreting individuals’ financial behaviors while supporting an evolving array of secure and convenient payment interactions. As with most machine learning use cases such as smart cars, natural language processing and medical research, the analytic techniques used in sophisticated fraud detection strategies must be highly specialized in order to be most effective. After all, the scale and speed of financial transactions are simply too great to entrust to shallow, unproven technologies.
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