Azure ML

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

Does not produce an output that serves as a principal basis for decisions or actions with legal, material, binding, or significant effect on any of the individuals or entities identified in OMB-25-21.

Start date

2025 (year precision)

Withheld from public reporting

NoSource: a) No

Mission

Topic area

Other

Operational functions

No function tag matched Derived by keyword rules; see methodology

Problem the AI is intended to solve

Ad-hoc Machine learning tasks are taking longer time to train and review results

Expected benefits

Assist data analysts with training and testing machine learning models .

System outputs

Provide a data analytics platform that can be used to quickly train and test machine learning models with GPU (Graphics Processing Unit) enabled compute.

Technology

AI classification

Generative AISource: Generative AI: AI that generates new or synthetic content (e.g., images, videos, audio, text, code).

System name(s)

Sentinel Network Services

Custom-developed code

No

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)

Microsoft

Vendors (standardized)

Microsoft

A vendor is the supplier named by the agency. It does not identify the underlying model or AI technology.

Data and privacy

Involves PII

Yes

Privacy Impact Assessment

www.ftc.gov ↗

Authorization to Operate

Yes

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.

Potential impacts and how they were identified

Not reported