RAG TV: Education, Information and Pattern Detection
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.
5 Ways for Telcos to Minimize the Impact of Scam Calls and Messages
Telcos need to adopt a multi-layered approach to protecting their customers from conmen.
Could AI Be Used to Stop Corruption?
Ukrainian business Sciforce believes machine learning has the potential to identify anomalies in unstructured data which are indicative of corrupt transactions.
Predictions for (the Rest of) 2020
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.
WeDo Joins Gartner Hype Cycle for Data Science and Machine Learning
Vendors are likely to position telecoms risk management and business assurance as subsets of ‘advanced anomaly detection’.
Human Expectations of Machine Learning
You can learn a lot with machine learning, but you can never be sure that you will learn what you wanted to learn.
Will Fraudsters Just Outwit Machine Learning Too?
The Q3 2018 DataVisor Fraud Index Report highlights a perennial problem with relying on historic data when searching for patterns.
Which Predictions Were Right?
Five major trends were described at the beginning of 2018. Did change occur as rapidly as expected?
5 Trends to Watch in 2018
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.
Using Machine Learning to Identify ‘Never Pay’ Subscribers
Automation and plenty of data means the credit worthiness of individuals can be assessed before they become subscribers.