OMB Individually Reported
Cloud Account Allocation Plan (CAAP) Cost Analytics Support
Low riskExact public inventory row
Description
Utilize machine learning to predict and allocate Cloud Account Allocation Plan (CAAP) cost and egress limits based on past actuals.
Detailed example
prediction of future cost and egress
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
Automates predictions based on past performance figures, saving human time and effort and enabling more accurate cost estimates.
Controls / human review
ATO: Yes; PIA: Not published
Data needed
on an account-by account basis, uses past cloud account incurred costs and data egress as collected in AWS via CloudFront logs.