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.

Financial institutions are in the business of risk management and reallocation, and they have developed sophisticated risk management systems to carry out these tasks. The basic components of a risk ...

As digital sovereignty becomes a strategic requirement, organizations are rethinking how they deploy critical infrastructure and AI capabilities under tighter regulatory expectations and higher risk ...

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 gap between AI and traditional risk modelling is substantial. Traditional models often fall short when dealing with complex, non-linear relationships. In contrast, AI models thrive in detecting ...

Atkar: Not necessarily on operational risk. For instance, the recent Basel paper on the treatment of insurance to mitigate operational risks proposes arguably a more complicated approach than ...

Following the global financial crisis that began in 2007–08, policy- makers have multiplied their efforts and implemented reforms to strengthen the resilience of the financial sector. But – while ...

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 ...

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 ...

UK Finance has recently spotlighted a critical evolution in how institutions manage detection tools. The organization also shared other insights.

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 ...