2024-08-31 | Work Programme | Version 2.3.3 |
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Work Item Reference | ETSI Doc. Number |
STF | Technical Body in Charge |
Download Standard![]() ![]() |
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RGR/ENI-009v121_Data_Proc_Mech | GR ENI 009 | ENI | |||||
Current Status (Click to View Full Schedule) |
Latest Version |
Cover Date | Standstill | Creation Date | |||
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1.2.1 | 2023-05-05 | View Standstill Information | 2021-06-15 | |||
Rapporteur | Technical Officer | Harmonised Standard | |||||
Hongdan Ren
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Christine Mera
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No | |||||
Title |
Experiential Networked Intelligence (ENI); Definition of data processing mechanisms Data Mechanisms |
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Scope and Field of Application |
The present document revises ETSI GR ENI 009. The realization of intelligent network depends on the big data, AI algorithms and computing resources. Therefore, effective data management and operation is extremely important. This work item is purposed to draft a GR of data operation requirements and mechanisms to better serve ENI system: (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 Autonomus 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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Supporting Organizations |
Huawei technologies (UK);China Telecomunications Corporation;Portugal Telecom PT SGPS;Intel Corporation (UK);AsiaInfo Technologies Inc. |
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artificial intelligence data collection data management data mechanism data processing data storage network management |
Networks |
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Official Journal |
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Remarks |
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