ETSI - GR ENI 009
Experiential Networked Intelligence (ENI); Definition of data processing mechanisms
| Organization: | ETSI |
| Publication Date: | 1 May 2023 |
| Status: | active |
| Page Count: | 41 |
scope:
The present document revises ETSI GR ENI 009 [i.30] (V1.1.1). The realization of intelligent network depends on the use of mechanisms related with: processing of the big data, AI algorithms and computing resources. Therefore, effective data management and operation is extremely important.
The present document is purposed to enhance the ETSI GR ENI 009 [i.30] (V1.1.1) on data operation requirements and mechanisms to better serve ENI system, especially within the following technical areas:
1) data format among the Functional Block of ENI system and towards the external world (internal Functional Blocks, Knowledge Representation);
2) data conversion and possibility to translate AI data model to be adapted to/from external system (external trained model imported into ENI);
3) consistency of data format and interface to accelerate the Autonomous Network (AN) evolution process; and
4) ensure that customer privacy is not disclosed in the entire lifecycle of data collection, processing and utilization (Federated Learning).
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