David F. Peterson looks at a real-life incident that applied a risk management model and saved a life.

This leads to a difficult task for the risk management function to interpret what has been obtained as input to the identification and assessment process.

By standardizing the change process across the independent IT groups, and then aggregating the change-management outputs (e.g., impact analysis, risk assessments, preliminary schedules ...

Financial institutions have been maturing their approaches to model risk management (MRM) and – as models become more complex and pervasive, and regulatory expectations continue to increase – leading ...

When people rely on it regularly, it’s far less likely to become outdated. Adopting a modern, process-centric approach to compliance and risk management is like building a well-oiled machine.

They need a scalable approach to automate part of the risk management process. Artificial intelligence (AI) and machine learning (ML) solutions can help make this possible.

Abstract In this paper, we discuss aspects of model risk management in financial institutions that could be adopted by academic institutions to improve the process of conducting academic research, ...