Integrated Data Repository (IDR) Customer Analytic Environment (CAE)
Description
Provides an AI/ML environment connected to the IDR that enables CAE customers to focus on their AI use cases and business outcomes, without the burden of setting up or maintaining their own IT infrastructure or AI/ML labs or environments.
Detailed example
Within the CAE, AI systems produce outputs such as predictions (e.g., forecasting trends, detecting anomalies), recommendations (e.g., suggested actions or risk mitigation strategies), classifications (e.g., grouping records or identifying patterns), and other decision-support insights. These outputs are generated from IDR data within a secure, fully managed environment and are designed to inform and augment human decision-making across CMS programs, not to operate autonomously.
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
b) Pilot – The use case has been deployed in a limited test or pilot capacity.
Expected benefit
The CAE provides CMS Centers and Offices with secure, fully managed AI/ML workspaces directly integrated with the IDR, eliminating the need to build or maintain separate infrastructure. This accelerates AI innovation, shortens time-to-insight, and enables scalable adoption of advanced analytics across the agency.
Controls / human review
ATO: Yes; PIA: Not published
Data needed
CAE is an environment where customers will build their ML models and AI use cases, by leveraging the IDR