OMB Individually Reported
Novel Activities Call Report Classification
Low riskExact public inventory row
Description
Identify emerging or non-traditional banking activities
Detailed example
The model identifies call report line items that are correlated with the banks on internal supervisory lists and classifies banks based on their statistical similarity to banks engaged in novel activities
AI / analytics pattern
Classical/Predictive Machine Learning: Models trained on data to make predictions or classifications based on identified patterns or relationships.
Automation level / stage
b) Pilot – The use case has been deployed in a limited test or pilot capacity.
Expected benefit
The random forest model would parse out what reported categories most significantly predict inclusion on novel banking activity lists
Controls / human review
ATO: Yes; PIA: Not published
Data needed
Internal – FDIC Deposits