How do you sell SVM (Support Vector Machine) to a consulting client ?

This is taken from “Bennett and Bredensteiner, 1998”:

“How do you sell a SVM to a consulting client, manager, etc? What quick description would allow an end user to grasp the fundamentals of SVM necessary for a successful application? There are three key ideas needed to understand SVM: maximizing margins, the dual formulation, and kernels. Most people intuitively grasp the idea that maximizing margins should help improve generalization. But changing from the primal to dual formulation is typically black magic for those uninitiated in duality theory. Duality is really the key concept frequently missing in the understanding of SVM.”

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