In this special guest feature, Christopher Hillman, Principal Data Scientist in the International Advanced Analytics team at Teradata, discusses the significant progress being made in the area of ...

Abstract: Fraud in supply chain operations poses significant risks to businesses, including financial losses, operational inefficiencies, and erosion of stakeholder trust. With the increasing ...

Explainable AI plays a central role in validating model behavior. Using established explainability techniques, the study examines which financial variables drive fraud predictions. The results show a ...

In an increasingly digital financial landscape, fraud is evolving in both scale and complexity. Financial institutions from global banks to nimble fin-techs face constant threats ranging from payment ...

Betting companies train machine learning programs to monitor players’ behaviour. AI technologies seem to have been integrated into every corner of our lives. Most businesses have jumped on the ...

AI has been used to defraud people through everything from calling voters to faking celebrity giveaways. Now, the US Treasury Department claims machine learning AI has played a critical part in its ...

Fraud detection is no longer enough to protect today’s financial ecosystem. As digital transactions increase in volume and complexity, banks require intelligent systems that can assess risk with ...