NASA · NASA-901 · record R0498
Cloud Account Allocation Plan (CAAP) Cost Analytics Support
National Aeronautics and Space Administration · GSFC: Goddard Space Flight Center
Overview
- Development stage
- PilotSource: b) Pilot – The use case has been deployed in a limited test or pilot capacity.
- High-impact designation
- Not high-impactSource: c) Not high-impact
- Impact justification
- Not reported
- Start date
- 2025-06-01 (day precision)Source: 06/01/2025 00:00:00
- Withheld from public reporting
- Yes (disclosure risk)Source: b) Yes – agency has determined that there’s a risk to disclosure, such as a harm to an interest protected by a FOIA exemption
Mission
- Topic area
- Administrative FunctionsSource: Administrative functions
- Operational functions
- No function tag matched Derived by keyword rules; see methodology
Problem the AI is intended to solve
Utilize machine learning to predict and allocate Cloud Account Allocation Plan (CAAP) cost and egress limits based on past actuals.
Expected benefits
Automates predictions based on past performance figures, saving human time and effort and enabling more accurate cost estimates.
System outputs
prediction of future cost and egress
Technology
- AI classification
- Classical / predictive MLSource: Classical/Predictive Machine Learning: Models trained on data to make predictions or classifications based on identified patterns or relatio…
- System name(s)
- Earthdata Cloud
- Custom-developed code
- Yes
- Public source code
- Not reported
Sourcing
- How it was built
- Contract and in-houseSource: c) Developed with both contracting and in-house resources
- Vendor (as reported)
- Raytheon
- Vendors (standardized)
- None on the standard list
A vendor is the supplier named by the agency. It does not identify the underlying model or AI technology.
Data and privacy
- Involves PII
- No
- Privacy Impact Assessment
- Not reported
- Authorization to Operate
- Yes
- Demographic features
- Not reported
- Training and evaluation data
- on an account-by account basis, uses past cloud account incurred costs and data egress as collected in AWS via CloudFront logs.
- Federal Data Catalog
- Not reported
Governance
0 of 8 minimum-practice questions answered. A blank answer means the agency reported nothing; it does not mean the practice is absent.
Pre-deployment testingNo answer reported
AI impact assessmentNo answer reported
Independent reviewNo answer reported
Ongoing monitoringNo answer reported
Operator trainingNo answer reported
Fail-safeNo answer reported
Appeal processNo answer reported
User and public consultationNo answer reported
Potential impacts and how they were identified
Not reported