Oliver Tearle

With the increased shift toward digital payments, which has only been accelerated by the COVID-19 pandemic, manual data analysis and threat detection methods have failed to stop the fraudsters, says The ai Corporation's Oliver Tearle.

As the number of payment types and channels increase, manual processes to handle fraud can rapidly become unmanageable, says The ai Corporation's Oliver Tearle.

As machine learning generally benefits from lots of examples, by the time a model can be implemented to tackle the new threat, the threat has generally moved on, so frequent updates to models are necessary, writes Oliver Tearle, head of research at The ai Corporation

A data-driven approach, regardless of human or machine involvement, is a state that organizations need to move to in order to maximize detection in the present and to ease the transition to a more primarily machine-driven future, writes Oliver Tearle, head of research at The ai Corporation.