This page provides an introduction to Technical Specification: Compression and Understanding of Industrial Data (MPAI-VCUI) standard. Also see the official MPAI-CUI homepage. and the MPAI-AIF V2.0 specification. Also see the official MPAI-AIF homepage. and the MPAI-CUI V1.1 specification.
The AI-based Company Performance Prediction use case of MPAI-CUI, predicts the performance of a company, from its governance, financial and risks data in a given time horizon of prediction.
The performance of a company is measured by:
- Default Probability (i.e., the default probability in a specified number of future months based on company financial features).
- Organisational Model Index (i.e., the adequacy of the organisational model).
- Business Discontinuity Index (i.e., the probability of an interruption of the operations of the company for a period of time less than 2% of the prediction horizon).
The figure depicts the reference model of the Company Performance Prediction Use Case.
AI-based Company Performance Prediction measures the performance of a Company by providing Default Probability, Organisational Model Index, and Business Discontinuity Probability of the Company within agiven Prediction Horizon using the Company’s Governance, Financial and Risk data
The MPAI-CUI Standard (Technical Specification, Reference Software, Conformance Testing and Performance Testing) has been approved and is available for public download.
If you wish to participate in this process, please consult How To Join or visit this page regularly to keep abreast of MPAI-CUI development.
See the presentation of the MPAI-CUI standard.
If you wish to participate in this work you have the following options
- Join MPAI
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