ETSI GS ENI 005 V 1.1.1
Experiential Networked Intelligence (ENI) – System Architecture
The purpose of this work item is to draft a GS to define the software functional architecture of ENI. This…
Interoperability
ETSI GR ENI 012 V 1.1.1
Experiential Networked Intelligence (ENI) – Reactive In-situ Flow Information Telemetry
The present document will describe the motivation, requirements, and challenges of using flow-oriented on-path telemetry techniques which provides relevant measurement…
ETSI GR ENI 007 V 1.1.1
Experiential Networked Intelligence (ENI) – ENI Definition of Categories for AI Application to Networks
This Work Item will address the aspects of gradual implementation of networked intelligence and specify a categorization framework for systems…
ETSI GR ENI 008 V 2.1.1
Experiential Networked Intelligence (ENI) – InTent Aware Network Autonomicity (ITANA)
This document will discuss various design options, in terms of a set of new stand-alone and/or nested Functional Blocks, for…
ETSI GR ENI 001 V 1.1.1
Experiential Networked Intelligence (ENI) – ENI use cases
The WI will identify and describe use cases and scenarios that are enabled with enhanced experience, through the use of…
ISO/TS 8000-82:2022
PD ISO/TS 8000-82:2022
Data quality – Data quality assessment: Creating data rules
This document describes how data rules apply to various types of data. Such rules exist to sustain the integrity and…
ITU-T L.1305
Data centre infrastructure management system based on big data and artificial intelligence technology
This Recommendation describes specifications of a data centre infrastructure management (DCIM) system based on big data and artificial intelligence (AI)…
ETSI TR 103748 V 1.1.1
Core Network and Interoperability Testing (INT) – Artificial Intelligence (AI) in Test Systems and Testing of AI Models – Use and Benefits of AI Technologies in Testing
The present document provides guidance on the use of AI technologies applied to testing. © Copyright 2023, ETSI
ETSI EG 203341 V 1.1.1
Core Network and Interoperability Testing (INT) – Approaches for Testing Adaptive Networks
The characteristics of ‘adaptive networks’ such as virtualization, self-organization, self-configuration, self-optimization, self-healing and self-learning offer huge advantages in future networks.…
This PAS gives recommendations for managing security risks that might lead to a compromise of safety in a connected automotive ecosystem. The PAS covers…
ITU-T L Supplement 52
Computer processing, data management and energy perspective
This standard specifies the collaboration protocols of enabling machine learning on the edge computing node with support from industrial clouds.…
