Compression and Understanding of Industrial Data
Compression and Understanding of Industrial Data (MPAI-CUI) is an MPAI standard covering the AI-based Company Performance Prediction (CPP) Use Case.
CPP predicts the performance of a Company, using its Governance, Financial and Risk data in a given prediction horizon. CPP measures the Company Performance with parameters: Default Probability, Adequacy Index of Organisational Model, and Business Continuity Index.
Users of MPAI standards should bear in mind the Notices and Disclaimers concerning use of MPAI Standards.
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MPAI is indebted to the following individuals for their contributions to the development of MPAI-CUI: Valeria Lazzaroli (Arisk srl), Luca Ligabue, Guido Perboli (Politecnico di Torino), Mariangela Rosano (Arisk srl and Politecnico di Torino).
See the public MPAI-CUI documents:
- Presentation of MPAI-CUI
- Introduction to MPAI-CUI
- Call for Technologies
- Framework Licence
- Use Cases and Functional Requirements
- Application Note
Visit the About MPAI-CUI page