This Recommendation provides a framework for artificial intelligence (AI) enhanced telecom operation and management (AITOM). It describes the functional framework…
Interface and architecture
Recommendation ITU-T Y.3173 specifies a framework for evaluating the intelligence of future networks including IMT-2020 and a method for evaluating…
ITU-T Y.3174
Framework for data handling to enable machine learning in future networks including IMT-2020
This Recommendation provides a framework for data handling to enable machine learning (ML) in future networks including International Mobile Telecommunications…
ITU-T F.746.5
Framework for a language learning system based on speech and natural language processing (NLP) technology
This Recommendation presents an overview of the framework for a language learning system based on speech and natural language processing…
ETSI GR ENI 017 V 2.1.1
Experiential Networked Intelligence (ENI) – Overview of Prominent Control Loop Architectures
The purpose of the present document is to provide information on prominent control loop architectures that can be used in…
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 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…
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 016 V 2.1.1
Experiential Networked Intelligence (ENI) – Functional Concepts for Modular System Operation
The purpose of the present document is to provide information on software design principles for constructing modular systems to be…
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…
This Recommendation describes the functional entities and architecture for emotion enabled multimodal user interface based on artificial neural networks. In…
ISO 8000-110:2021
BS ISO 8000-110:2021
Data quality. Master data: Exchange of characteristic data: Syntax, semantic encoding, and conformance to data specification
This document specifies requirements for the exchange of messages that contain master data consisting of characteristic data. These requirements can…
