Machine Learning and Credit Risk: a suitable marriage?
Using Random Forests for Credit risk models
How can financial institutions apply Machine Learning techniques in the field of credit risk modeling in the age of Big Data and Artificial Intelligence?
Managed Services to tackle cost and complexity of Regulatory reporting
Smaller banks are the early adopters of this new trend
Banks are on a journey to redefine their business models. As part of this journey to achieve a sustainable business model, cost effectiveness and efficiency are at top of the mind of decision makers.
Credit scoring in post brick-and-mortar banking
AI and new data sources can enable banks to meet changing customer expectations.
The nature of financial services is changing: customer expectations, technology and regulation are driving traditional banks to rethink their overall lending strategy and business model. A core capability in the lending cycle is the ability to measure credit risk to match risk and return on loans.