Your organization’s risk management strategies are always in need of an update. Insights from your historical data simply aren’t enough to help you assess tomorrow’s risks and threats. This guide reveals how and why external data improves your machine learning models by reducing risk, improving accuracy, and enhancing your decision-making process. Plus, you’ll learn how to leverage machine learning to minimize risk; when to combine historical datasets with outside, contextual data; and what types of external data deliver benefits for anomaly detection, fraud prevention, and credit risk scoring.