VA · VA-25-5657 · record R2162

MetricSage

Department of Veterans Affairs · OIT: Office of Information & Technology

Overview

Development stage: In development or acquisitionSource: a) Pre-deployment – The use case is in a development or acquisition status.
High-impact designation: Not high-impactSource: c) Not high-impact
Impact justification: Not reported
Start date: Not reported
Withheld from public reporting: Not reported

Mission

Topic area: Information Technology
Operational functions: No function tag matched Derived by keyword rules; see methodology

Problem the AI is intended to solve

We intend to build a machine-learning model to optimize cost for the Claim Evidence API within VBMS. The input data will be system metrics collected by Dynatrace, such as CPU and memory usage, and the output will be projected usage and optimal sizing of resources based on that usage. VA Project Managers and Benefits Integrated Platform engineers will use this system to determine the resources to provision and the expected cost of those resources. This use case will be used to anticipate future cost in compute based on claim workload.

Expected benefits

proper forecasting will allows us to right size our compute resources.

System outputs

A dashboard that shows present and anticipated future compute utilization.

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): Not reported
Custom-developed code: Not reported
Public source code: Not reported

Sourcing

How it was built: Not reported
Vendor (as reported): Not reported
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: Not reported
Privacy Impact Assessment: Not reported
Authorization to Operate: Not reported
Demographic features: Not reported
Training and evaluation data: Not reported
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