In the past year, we have noticed a surge in demand for digitized solutions. We've reflected on the role automation plays in credit risk modeling and management, and how we can design our products to make it easier for machines and the machine learning algorithm to perform the tasks of humans at a similar level of accuracy as humans with a higher speed and scalability that automation brings.
Key highlights:
-
Top reasons many are starting to automate their client risk workflows
-
How we have highlighted client feedback into our considerations in product design
-
Concrete examples on how our product design derives speed and scalability to clients
-
Getting practical with Basel III/APS 112 requirements