Azure ML
Description
Ad-hoc Machine learning tasks are taking longer time to train and review results
Detailed example
Provide a data analytics platform that can be used to quickly train and test machine learning models with GPU (Graphics Processing Unit) enabled compute.
AI / analytics pattern
Generative AI: AI that generates new or synthetic content (e.g., images, videos, audio, text, code).
Automation level / stage
a) Pre-deployment – The use case is in a development or acquisition status.
Expected benefit
Assist data analysts with training and testing machine learning models .
Audit / financial statement impact
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.
Controls / human review
ATO: Yes; PIA: https://www.ftc.gov/system/files/ftc_gov/pdf/Sentinel-Network-Services-PIA.pdf