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.

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 ...

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

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 ...

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 ...

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.

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 ...

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 ...