Fraud costs the global economy an estimated $5 trillion every year. No matter what industry you work in, fraudsters keep coming up with new, increasingly sophisticated ways to cheat the system.
To keep up, fraud analysts and investigators have to get creative. Machine learning solves many problems of traditional fraud detection systems. Machines can work 24/7, detect patterns that humans might miss and give analysts more time to work on complex cases rather than tedious data analysis.
Download this free cheat sheet to learn about four innovative ways you can use machine learning for fraud detection.