OMB Individually Reported
Water Time-Series Record Automation Framework development
Low riskExact public inventory row
Description
Leverage AI/ML to streamline USGS time-series data processing workflows
Detailed example
The system will automatically apply, or suggest application of, corrections that will be layered on the raw time-series data to compute a final corrected time-series dataset.
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
a) Pre-deployment – The use case is in a development or acquisition status.
Expected benefit
The AI/ML algorithms would be leveraged to help streamline data correction processes associated with time-series data record production in extensible software automation solutions.
Controls / human review
ATO: No; PIA: Not published