Episode 7 of RAG TV featured Ingrid Azzopardi, who leads the internal audit function at Maltese operator GO, and machine learning guru Dr. George Bolt of Neural Technologies.
Telcos need to adopt a multi-layered approach to protecting their customers from conmen.
Ukrainian business Sciforce believes machine learning has the potential to identify anomalies in unstructured data which are indicative of corrupt transactions.
Who says predictions can only be made at the beginning of the year? Here are some forecasts that may tickle your funny bone, or send shivers down your spine.
Vendors are likely to position telecoms risk management and business assurance as subsets of ‘advanced anomaly detection’.
You can learn a lot with machine learning, but you can never be sure that you will learn what you wanted to learn.
The Q3 2018 DataVisor Fraud Index Report highlights a perennial problem with relying on historic data when searching for patterns.
Five major trends were described at the beginning of 2018. Did change occur as rapidly as expected?
Risk managers should never engage in wild speculation unless it is the start of the year and their predictions are different to everyone else’s.
Automation and plenty of data means the credit worthiness of individuals can be assessed before they become subscribers.