GovCon Match
Description
Identifying trends and predicting outcomes requires analysis of complex data patterns that are difficult to assess manually.
Detailed example
This machine learning predictive model enhances federal contracting opportunities for small businesses by predicting agencies most likely to contract with a small business given the small business’s features. A dashboard allows the public to interact.
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
d) Retired – The use case was reported in the agency’s prior year’s inventory, but its development and/or use has since been discontinued.
Expected benefit
Data-driven predictions, identification of patterns not visible through manual review, improved decision-making accuracy, and optimized resource allocation.
Audit / financial statement impact
Not high impact: This AI system does not meet the criteria of any of the six pillars that make up High Impact AI in Memorandum M-25-21.
Controls / human review
ATO: Yes; PIA: Not publicly available
Data needed
Federal Procurement Data System