Nasdaq’s AI Integration Enhances Risk Management for Banks and Insurers

Nasdaq has launched a new machine learning technology integrated into the Calypso platform, enabling financial institutions to perform risk calculations up to 100 times faster. Using Chebyshev Tensors, this solution significantly reduces operational costs and quickly adapts to changing market conditions. It helps banks, insurers, and others manage large data volumes and meet regulatory demands while ensuring high accuracy and real-time efficiency, especially during market volatility.

Nasdaq has introduced a groundbreaking machine learning technology that will transform how financial institutions handle complex risk calculations. Integrated into the Calypso platform, this new approach promises to speed up calculations while maintaining high accuracy, benefiting banks, insurers, and other financial organizations.

Nasdaq ’s new method can process financial instrument pricing and risk assessments up to 100 times faster than traditional methods. By reducing the need for extensive physical infrastructure, the technology helps financial institutions save on operational costs.

The system adapts quickly to changing market conditions, making it invaluable during periods of market volatility. This advanced solution uses Chebyshev Tensors, which offer accurate results with fewer calculations, significantly speeding up the process.

As financial institutions face growing challenges in managing large volumes of data, meeting regulatory demands, and ensuring real-time accuracy, Nasdaq’s innovation makes it easier to stay compliant while improving operational efficiency.

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