AB InBev Uses Machine Learning for Corruption

Have in the past few months seen several interesting examples of automated and semi-automated fraud detection, and some cases where it should be being used.  Here another somewhat unexpected example.

AB InBev Taps Machine Learning to Root Out Corruption
The Wall Street Journal
By Dylan Tokar

Brewer Anheuser-Busch InBev spent three years developing machine learning technology to spot corruption in its business partners. The BrewRight analytics platform harnesses data from operations in more than 50 countries to proactively track legal risks and deter violations, rather than investigating problems after they crop up. Companies have traditionally probe misconduct after it happens, but Harvard Business School's Eugene Soltes said, "Data analytics and what AB InBev has done changes that equation. They want to put much more on the front-end—on prevention and detection." The machine learning aspect allows the platform to become smarter and more effective over time. It already has cut hundreds of thousands of dollars in costs associated with investigating suspect payments.  ... '