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市場調查報告書

5G網絡中的AI和操作自動化

AI and Operations Automation in 5G Networks

出版商 ABI Research 商品編碼 969753
出版日期 內容資訊 英文 27 Pages
商品交期: 最快1-2個工作天內
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5G網絡中的AI和操作自動化 AI and Operations Automation in 5G Networks
出版日期: 2020年11月11日內容資訊: 英文 27 Pages
簡介

本報告調查和分析5G網絡中的AI和操作自動化,並提供有關要考慮的關鍵因素,各種策略管理系統和適用性,關鍵技術等的系統信息。

上市公司

  • Amazon
  • DriveNets
  • Ericsson
  • Google
  • HPE
  • Huawei
  • IBM
  • Microsoft
  • Nokia
  • Oracle
  • ZTE

目錄

第1章執行摘要

第2章建議

第3章複雜的電信生態系統

  • 新服務和業務應用
  • 新的網絡和基礎架構技術

第4章電信中的AI/ML

  • 三種主要的AI功能
  • 向認知電信發展
  • 交流中的ML

第5章基於AI/ML的5G網絡操作的自動化

  • 基於AI/ML的自動化
  • 閉環自動化
  • 集中/分散決策和政策管理
  • 集裝箱式5G網絡的關鍵運營支柱

第5章AI/ML用於5G用例

  • 網絡服務操作用例
  • 基於開放性和模塊化的AI/ML層
  • 自動化不僅僅是技術

第7章市場預測

第8章CSP部署和供應商資料

  • CSP部署示例
  • Telco供應商資料
  • Hyperscaler配置文件
目錄
Product Code: AN-4903

Actionable Benefits:

  • Determine key industry trends that are creating a spike in demand for AI/ML in telco operations.
  • Educate strategy teams and product engineers on key design requirements for AI/ML-powered software as the industry progresses towards fully autonomous, cognitive platforms.
  • Identify key use cases and end verticals that the industry can use as a guidance to unlock innovation and new value creation from AI/ML-based platforms.

Critical Questions Answered:

  • How are some CSPs implementing AI/ML to modernize their operations and NOCs into more cognitive environments?
  • What are the key operations and automation pillars that can benefit from AI/ML to support an inherently distributed network such as 5G?
  • What are some key lessons that should be considered part of the overall automation journey as CSPs transform their operations towards more hyperscale-based capabilities?

Research Highlights:

  • Insights on key elements that both vendors and CSPs must consider as they implement AI/ML-based network automation in 5G networks.
  • Analysis of different policy management systems, 'basic' and closed-loop automation and their applicability in aiding CSPs edge closer to zero-touch operations.
  • An overview of key technology pillars that technology providers must satisfy for effective and high-quality automation capabilities.

Who Should Read This?

  • Decision makers for network and IT infrastructure who need to understand key telco automation imperatives.
  • Technology providers who need to understand how software and cloud platforms can be used to simplify network operations.
  • CSPS and SIs who need to understand various other aspects that underpin service provider's organizational structure in addition to technology.

Companies Mentioned:

  • Amazon
  • DriveNets
  • Ericsson
  • Google
  • HPE
  • Huawei
  • IBM
  • Microsoft
  • Nokia
  • Oracle
  • ZTE

TABLE OF CONTENTS

1. EXECUTIVE SUMMARY

2. RECOMMENDATIONS

3. A COMPLEX TELCO ECOSYSTEM

  • 3.1. New Services and Business Applications
  • 3.2. New Network and Infrastructure Technologies

4. AI AND ML IN TELCOS

  • 4.1. Three Major Types of AI Functions
  • 4.2. Evolving Toward a Cognitive Telco
  • 4.3. Machine Learning in Communications

5. AI/ML-BASED AUTOMATED 5G NETWORK OPERATIONS

  • 5.1. AI/ML-Based Automation
  • 5.2. Flavors of Closed-Loop Automation
  • 5.3. Centralized and Distributed Decision-Making and Policy Management
  • 5.4. Key Operations Pillars for Containerized 5G Networks

6. AI/ML FOR 5G USE CASES

  • 6.1. Network Services and Operations Use Cases
  • 6.2. AI/ML Layer Based on Openness and Modularity
  • 6.3. Automation Is More Than Technology

7. MARKET FORECASTS

8. CSP DEPLOYMENTS AND VENDOR PROFILES

  • 8.1. Example CSP Deployments
  • 8.2. Telco Vendor Profiles
  • 8.3. Hyperscaler Profiles