Quantified Risk Measures (QRM) represent a statistical approach to quantify the potential risk and uncertainty associated with investment or business decisions. These measures help in understanding the likelihood of various outcomes under different scenarios, allowing decision-makers to assess and manage potential risks effectively.

Quantified Risk Measures (QRM) within an Artificial Intelligence (AI) and Machine Learning (ML) context represents a new horizon for risk practitioners across the financial, capital, and commercial markets. The integration of AI and ML into risk management processes allows for more accurate and timely risk predictions, enhancing decision-making and strategic planning.