This research initiative highlights applied AI and business analytics for financial risk management, cybersecurity, and ...

Artificial intelligence systems are only as powerful as the data they are trained on. High-quality labeled datasets determine whether a model performs with precision or fails in production.

On the measurement side, the industry is far from determining if the complexity that modeling brings to operational risk actually provides value. Rather than building complexity into operational risk ...

Managing director Bart Holsters explains why hybrid insourcing, competence assurance and sovereign readiness are becoming essential as artificial intelligence pushes datacentres to their limits.

Why industry leaders must look past the hype to the hard realities. Artificial intelligence is transforming banking at unprecedented speed — powering fraud detection, compliance automation, credit ...

The Structural Shift in Energy Markets Energy markets are undergoing a fundamental transformation. The rapid growth of AI data centers, industrial electrification, and renewables penetration has ...

Solovis Predict empowers your investment team with a simple, powerful interface that enables modeling of a variety of investment variables to illuminate impacts on performance, risk and liquidity.

This article was written by Antonios Lazanas, Head of Portfolio and Index Research at Bloomberg. Modern risk modelling is not just about monitoring risk. Sure, the specialists who manage risk are ...

Carina (Ding) Zhao is a senior banking professional and analytics leader with nearly two decades of experience in the New Zealand financial services sector. Her expertise spans credit risk, model risk ...