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.

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

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 ...

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 ...

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

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 ...

Regulators around the world differ in their approach to model risk management (MRM) regulation – including their definitions of what a model is. While some are more prescriptive, others such as the UK ...

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 ...