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 ...

Artificial intelligence based on medical claims data outperforms traditional models in stratifying patient risk. ABSTRACTObjectives: Current models for patient risk prediction rely on practitioner ...

Prediction models combining claims data with social determinants of health and additional, more-timely data sources using artificial intelligence (AI) can better identify individuals with the highest ...

Risk models at Credit Suisse had flagged the dangers before their $5.5 billion Archegos loss. Silicon Valley Bank's risk metrics showed clear warnings before their collapse. In both cases, ...

Researchers at the University of Texas at Austin produced data-driven and hybrid data-physics based DIP models to analyze stuck pipe incidents at the Frontier Observatory for Research in Geothermal ...

Yes, I would like to be contacted by a representative to learn more about Bloomberg's solutions and services. By submitting this information, I agree to the privacy ...

Rapidly advancing technology, increasingly sophisticated attackers, and a rise in supply chain threats make systemic cyber-risk difficult to assess. An influx of vulnerabilities that continue to amass ...