Combating Fraud in Telecom Industry With AI

The Problem

Telecom fraud has existed for quite a long time now. The earliest instance dates back to the 19th century. Telecom fraud costs the industry billions of dollars every year. The losses continue to rise every year as criminals use advanced ways of committing fraud. Can AI be used to combat fraud?

Solution

Machine learning models deployed on Kranium can be used to combat various types of fraud for telecom companies. For instance, machine learning models can be used to identify suspicious calls and customer patterns in real-time to combat fraud. In addition, predictive machine learning models can predict points at which customers are prone to fraud, thereby allowing telecom companies to strengthen check in these areas.