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.

MPAI-CUI standard

Users of MPAI standards should bear in mind the Notices and Disclaimers concerning use of MPAI Standards.

Version 1 Technical Specification Reference Software Specification  Reference SW Conformance Testing Performance Assessment Demo

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:

  1. Presentation of MPAI-CUI
  2. Introduction to MPAI-CUI
  3.  Call for Technologies
  4. Framework Licence
  5. Use Cases and Functional Requirements
  6. Application Note

Visit the About MPAI-CUI page