Improving Probabilistic Fraud Risk Analysis with ML
With the rise of more sophisticated fraud tactics, it’s become even more essential for businesses to find better ways to predict fraud risk.
About Trevor Anderson
Trevor Anderson joined Ekata in 2012 as the company's first sales engineer. Today he leads Ekata's global Field Data Science team, focusing on helping clients to get the best value from Ekata's products within their models and rule sets. Previous to Ekata, Trevor worked at QL2 Software as a software engineer, sales engineer, and account manager.
