Critical infrastructure has long been associated with physical assets—power plants, transportation networks, hospitals, and ...

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 ...

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 ...

Why smaller, domain-trained AI models outperform general-purpose LLMs in enterprise settings.

The U.S. bank supervisory agencies recently issued for public comment revised guidance regarding the implementation of the proposed Basel II-related, risk-based capital requirements. Among the ...

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 ...

Outbreak Labs, formerly FSID, joins Google’s GovTech FutureTech Series to showcase modelling and earth observation tools for government biosecurity decisions ...

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 Guidelines emphasize visibility and operational dependency, requiring institutions to identify where AI is embedded and how core workflows rely on it. Materiality drives proportional oversight ...

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 ...