<ul><li>Financial losses from worldwide credit card transaction fraud are projected to reach more than $403 billion over the next decade.</li><li>New NVIDIA AI Blueprint for financial fraud detection launched at Money20/20 conference, offering a reference example for financial institutions to improve accuracy and reduce false positives in detecting and preventing credit card transaction fraud.</li><li>Businesses embracing comprehensive machine learning tools can observe up to a 40% improvement in fraud detection accuracy, with leading financial organizations like American Express and Capital One already utilizing AI to combat fraud and enhance customer protection.</li><li>The NVIDIA AI Blueprint accelerates model training and inference, integrates accelerated computing and graph neural networks for fraud detection, and enhances the XGBoost ML model with NVIDIA CUDA-X Data Science libraries to reduce false positives.</li></ul>

Bring Receipts: New NVIDIA AI Blueprint Detects Fraudulent Credit Card Transactions With Precision

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