To become relevant, Risk Management must move from subjective awareness to a practical toolkit for operational managers to make informed decisions. Since Napoleon, the military has relied on such support. They call it "e;Military Intelligence"e;, defined as: "e;a military discipline that uses information collection and analysis approaches to provide guidance and direction to assist commanders in their decisions."e;In the same vein, business requires Risk Intelligence. Artificial Intelligence (AI) can advise strategy-makers on likely scenarios and influences, create networks to monitor changes in the environment, and provide rank and file with the collateral they need to achieve objectives. Given the right set of tools, Risk Management teams can provide Risk Intelligence to support your commanders in the field. Covering the 7 risk domains of financial risk, strategic risk, third-party risk, operational risk, security risk, market risk, and compliance risk, Risk Intelligence shows how to apply Machine Learning to manage: * Strategic Risk with Bayesian Game Theory * Financial Risk with Time Series Forecasting * Security Risk and Blockchain Trust Systems * OpRisk with Behavioural Analysis * Third Party Risk with Knowledge Graphs * Compliance Risk with NLP Text Analytics * Market Risk with Big Data & Clustering * Virtual & Augmented Reality for Training * Bayesian Decision Networks for risk-based decision-making