A summary of the 2019 World Economic Forum report on key obstacles preventing AI from being fully adopted and transforming the financial sector.
Business lessons learnt by the data scientists at Booking.com after deploying 150 Machine Learning (ML) models. These observations are insightful and offer a practitioner view regarding implementation of ML models for business purpose and some are even non-intuitive.
Another month and another publication on Artificial Intelligence (AI) by regulators is out. This time it is by the De Nederlandsche Bank (DNB). The principles
Introduction: One of the key challenges of using machine learning (ML) is the lack of explainability which progressively decreases as the model complexity increases starting
View of model risk from the actuarial industry with some unique insights into types of model users and how they impact model risk and expected vs unexpected model risk error.
BackgroundTargeted Review of Internal Models (TRIM) is a regulation under ECB (European Central Bank) which is designed to bring common understanding and consistency across capital