Yesterday’s Commsrisk article did not just present a nice theory. Here are the connections between data science and RAFM at a real telco.
Security breaches caused most leakage for comms providers, whilst RA-style leakages were worth almost double the value of fraud.
Businesspeople may focus on the trading of information, but humans talk to each other because they are social animals too.
Telco fraud losses will fall just because voice calls are becoming cheaper, but inexpensive international services also encourage cross-border crime targeted at telco subscribers.
RA vendors should do more to develop solutions that use sophisticated techniques like machine learning and predictive analytics.
Global telecoms fraud is such a big business that it is worth more than the GDP of some countries.
Some may fear the impact artificial intelligence will have on fraud management jobs, but AI will become so widespread that fraudsters will also be using it.
Fraud expert Jim Bolzenius shares his favourite anti-fraud strategies.
Author Malcolm Gladwell has written about people suffering information overload. However, machines thrive on data. That is why fraudsters should be identified by computer algorithms.