Machine learning can help human rules combat fraud

Machine learning technology will provide the best results in detection of fraud in the future. Indeed, many organizations are actively driving replacement of human-driven rules analysis with machine-driven solutions. However, I believe that a mix of machined-led and human-led activity is the best fit for many organizations to maximize performance. There are several perceptions that suggest fraud rules are no longer fit. Ultimately a data-driven approach, regardless of human or machine involvement, is a state that organizations need to move to in order to maximize detection in the present and to ease the transition to a more machine-driven future.