Enhance Fraud Detection with AI and Accelerated Computing

With global credit card transaction fraud anticipated to cost $43 billion by 2026, financial institutions are turning to advanced AI to boost transaction security and strengthen fraud prevention. By identifying subtle patterns and anomalies in transaction data rooted in user behavior, AI improves detection accuracy and reduces false positives compared to traditional methods. In this webinar, Financial Services industry experts from Amazon Web Services (AWS) and NVIDIA will explore how financial institutions can utilize advanced AI models, like graph neural networks and transformers, to build and deploy fraud detection models that offer scalable, low-latency, and high-throughput predictions, ensuring the safety of customers’ money, identities, and digital accounts. Key Takeaways: • Understand cost-savings associated with scaling large AI models for improved fraud detection • Mitigate risk with fewer false positives and real-time decisions • Adapt AI workflows for use cases such as account takeover and money laundering Watch this webinar to learn how AI-powered solutions from AWS and NVIDIA can help you quickly detect and prevent fraud to increase customer trust and improve service quality.