Alation Data Catalog
Description
The AI within Alation’s Data Catalog is designed to make data easy to find, understand, and use. It leverages machine learning and natural language processing (NLP) to automatically organize and tag data, creating a “map” of available information from various sources within an organization. The goal is that anyone looking for specific data can use simple, plain-language search terms, and the AI will help them locate the most relevant information quickly.
Detailed example
The Alation Data Catalog AI system primarily produces outputs that are recommendations and predictive insights to enhance data discovery, governance, and usability. AI outputs guide users toward more efficient and informed data management.
AI / analytics pattern
Generative AI: AI that generates new or synthetic content (e.g., images, videos, audio, text, code).
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
Enable users to quickly find relevant data across large, complex datasets, making information more accessible for decision-making. Additionally, Alation’s AI automates data organization and governance, helping to keep data accurate, up-to-date, and secure. It also supports compliance and builds trust in data, empowering teams to make reliable, data-driven decisions.
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.