There is room for improvement in the acceleration of its artificial intelligence capabilities. Artificial intelligence could enhance fraud detection without the need to manually set rules. Greater focus should be on machine learning and artificial intelligence capabilities, allowing the system to learn through existing rules and train itself to develop self-detection capabilities. Currently, the machine learning feature requires extensive usage before activation, which hinders its effectiveness.
What is Fraud Detection and Prevention? It wasn’t that long ago that fraud detection and prevention involved reviewing a fair bit of historical data analysis. Data scientists would be poring over tons of credit card records in order to spot fraudulent (or with luck, potentially fraudulent) activity.
Fast forward to today and we see fraud detection systems depend on catching and stopping fraud the second it’s spotted or even before it actually occurs. Automated solutions for fraud...
There is room for improvement in the acceleration of its artificial intelligence capabilities. Artificial intelligence could enhance fraud detection without the need to manually set rules. Greater focus should be on machine learning and artificial intelligence capabilities, allowing the system to learn through existing rules and train itself to develop self-detection capabilities. Currently, the machine learning feature requires extensive usage before activation, which hinders its effectiveness.