Informatica - CLAIRE
Description
Manual scanning and cataloging of data sets related to data analytics' mass data correction, business rules translation, data/column similarity, data anomaly detection, data relationship inference, data domain inference, data volume projections, cost of data breach, natural language description of code, business term associations, schema mapping, entity extraction, smart data visualization, and economic value of data.
Detailed example
Provide machine learning-based discovery to scan and catalog data assets across the OIG. Enterprise Data Catalog provides intelligence by leveraging metadata to deliver recommendations, suggestions, and automation of data management tasks.
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
c) Deployed – The use case is being actively authorized or utilized to support the functions or mission of an agency.
Expected benefit
Informatica CLAIRE engine will help with cataloging enterprise data quickly, classify and organize OIG data. It will also automate the data curation and connect data across OIG from disparate sources. It will also track data movement from system views to column-level lineage.
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: Not published
Data needed
The case owner relied on DOJ AI governance practices to select and prepare data, as well as evaluate performance.