EXL announces integration with NVIDIA Transaction Foundation Model workflow to help financial institutions build next-generation AI for fraud, risk and transaction intelligence

EXL, a global data and AI company, has integrated NVIDIA's Build Your Own Transaction Foundation Model developer example into its AI and analytics platform. The integration enables financial institutions to rapidly develop and deploy transaction intelligence applications using their proprietary data, specifically targeting fraud detection, risk assessment, and transaction analysis capabilities. The NVIDIA Transaction Foundation Model workflow provides financial organizations with a framework to build customized AI models trained on their own transaction data rather than relying on generic, pre-trained models. This approach allows banks and financial services companies to leverage their unique datasets to create more accurate and contextually relevant fraud detection and risk management systems. By incorporating NVIDIA's foundation model architecture, EXL's platform can process large volumes of transaction data to identify patterns, anomalies, and potential security threats in real-time. The integration represents a shift toward more personalized AI solutions in financial services, where institutions can maintain control over their sensitive data while still benefiting from advanced machine learning capabilities for critical security and risk operations.