Risk officers and analysts across financial services companies and banks realize that risk modeling in 2020 requires better data. Even the most sophisticated machine learning models are insufficient without the most relevant risk signals pulled from external data sources.
In this webinar, we discuss:
The new challenges of risk modeling and how to increase model accuracy
An innovative strategy for controlling risk by gaining the broadest insight possible on potential lendees
The benefits of connecting to external data to accelerate results and time to market
