Advantages of Machine LearningThe Challenges of Machine Learning in Fraud PreventionRelative Paucity of DataDelayed Feedback and OverfittingThe Labeled Data DifficultyIntelligent AdversaryExplainability, Ethics, and BiasDynamic Policies and the Merits of Story-Based ModelsData Scientists and Domain Experts: Best Practices for a Fruitful CollaborationWorking Well TogetherPopular Machine Learning ApproachesAccuracy Versus Explainability and PredictabilityClassification Versus ClusteringSummary