(Informative)
Technical Specification: Compression and Understanding of Industrial data (MPAI-CUI) – Company Performance Prediction (CUI-CPP) V2.0 provides a solution to the problem of assessing the impact of risks of different nature on the future of a company for a specified prediction horizon, in terms of efficacy of its governance, probability of business interruption, probability of company failure, and estimated factors affecting them.
This goal is reached by providing a set of company-provided data, namely, Financial and Governance Descriptors and risk data. The last data is grouped in two sets. The first, called Primary Risk Descriptors are fed to an AI Model that complies with applicable regulations. The second, called Secondary Risk Statements, are fed to a data processing module.
The use of AI technologies allows the user to obtain a prediction for a much longer time horizon compared to classical statistical approaches such as Altman Z-score.
The reliability of the prediction greatly depends on how well the data used for training the model(s) are congruent with the economic context relevant to the company whose future is assessed.
The current Version of CUI-CPP defines, in addition to the financial and governance risks two primary risks – cyber and climate. Users of the standard wishing to take other risks into consideration may do so using the same methodology and submit proposal of extensions to the MPAI Secretariat.
The Chapters/webpages of the CUI-CPP V2.0 standard are Normative unless they are explicitly labelled as Informative.
Capitalised Terms are defined by Table 1. All MPAI-defined Terms are accessible online.
