Originally published at: Supercharging Fraud Detection in Financial Services with Graph Neural Networks | NVIDIA Technical Blog
Fraud in financial services is a massive problem. According to NASDAQ, in 2023, banks faced $442 billion in projected losses from payments, checks, and credit card fraud. It’s not just about the money, though. Fraud can tarnish a company’s reputation and frustrate customers when legitimate purchases are blocked. This is called a false positive. Unfortunately,…
I’m interested in training a model using your container application. I was going through your Github repo (financial-fraud-detection/data/TabFormer/raw at main · NVIDIA-AI-Blueprints/financial-fraud-detection · GitHub), but I found no sample data. Is there anyway I can obtain an example dataset?