Compression and understanding of industrial data (MPAI-CUI) is an MPAI standard using AI to extract the most relevant information from industrial data. It includes the “AI-based Company Performance Prediction” Use Case.
The current version of MPAI-CUI has been developed by the MPAI Compression and Understanding of Industrial Data Development Committee (CUI-DC). Future Versions of the MPAI-CUI Standard may extend the Scope of the Use Case and/or add new Use Cases in Compression and Understanding of Industrial Data.
“AI-based Company Performance Prediction” normatively specifies the AIW and the Connections of the AIMs, the AIMs and the Formats of the input and output data of the AIW and the AIMs.
The word normatively implies that an Implementation claiming Conformance to:
- The AIW, shall have:
- Its Function specified in Section 1.1.
- Its input and output data specified in Subsection 1.2
- Its AIM Topology specified Subsection 1.3.
- Its AIMs with the Functions specified in Subsection 1.4.
- An AIM, shall:
- Have the AIM Function specified by the Subsection 1.4.
- Receive as input and produce as output data in the formats specified in Section 2.
- A Data Format, shall have a format specified in Section 2.
Users of this Technical Specification should note that:
- This Technical Specification defines the possible levels of conformance of an Implementation but does not mandate any.
- Implementers decide the Interoperability Level their Implementation satisfies.
- Implementers can use the Reference Software to develop their Implementations [2].
- Implementers can use the Conformance Testing specification to test the Conformance of an Implementation with this Technical Specification [3].
- Performance Assessors assess the Grade of Performance of an Implementation based on the results of Performance Assessment [4].
- The Governance of the MPAI Ecosystem is outlined in Annex 3 – and specified in [12].
- Implementers and Users should consider the notices and disclaimers of Annex 3 – .
