AI的用途与课题:AI对通讯业的影响
市场调查报告书
商品编码
1289014

AI的用途与课题:AI对通讯业的影响

Artificial Intelligence Applications and Challenges: Exploring the Impact of Artificial Intelligence on the Telecommunications Industry - Applications and Challenges

出版日期: | 出版商: IDATE | 英文 28 Pages | 商品交期: 最快1-2个工作天内

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简介目录

本报告提供通讯业的AI趋势调查,AI技术概要,用途,价值链,通讯业中AI的主要用途和作用,AI引进的课题等资讯。

目录

第1章 摘要整理

第2章 AI技术概要

  • AI,机器学习,深层学习定义
  • 主要的AI为基础的技术与用途
  • AI的价值链

第3章 通讯业主要的AI的用途

  • 通讯的AI用途主要的类别
  • 网路週期管理上AI所扮演的角色
  • 纤维网路上AI所扮演的角色
  • 行动网路上AI所扮演的角色
  • 网路自动化上AI所扮演的角色
  • 诈欺防止上AI所扮演的角色
  • 节能上AI所扮演的角色
  • 客户体验上AI所扮演的角色
  • 销售、个性化行销上AI所扮演的角色
  • 企业解决方案的AI:垂直产业
  • 通讯领域中生成系AI工具的引进

第4章 AI引进的课题

  • 通讯领域中AI引进的课题
  • 法规遵守
  • 伦理的关怀
简介目录
Product Code: M00101bMR

Summary

Artificial Intelligence (AI) is one of the most disruptive technologies of this decade and has the potential to transform every aspect of our society, including vertical industries. Telecom operators are transforming themselves into AI companies, starting with the automation of their network operations. On the other hand, the emergence of numerous generative AI tools has led to a significant increase in adoption, impacting various aspects of the telecom sector.

This report focuses on several key questions:

  • What are the different concepts of AI , including machine learning, deep learning and generative AI? What are the main components of AI, and what is the AI value chain? How do telecom operators position themselves in the AI value chain?
  • What are the main AI applications in the telecom sector?
  • Finally, what are the challenges that operators face when adopting AI?

Table of Contents

1. Executive summary

2. Overview of AI technologies

  • 2.1. Definition of artificial intelligence, machine learning and deep learning
  • 2.2. Key AI-based technologies and applications
  • 2.3. Artificial intelligence value chain

3. Key AI-based applications in the telecommunications industry

  • 3.1. Main categories of AI applications in telecoms
  • 3.2. The role of AI in network cycle management
  • 3.3. The role of AI in fibre networks
  • 3.4. The role of AI in the mobile network
  • 3.5. The role of AI in network automation
  • 3.6. The role of AI in fraud prevention
  • 3.7. The role of AI in saving energy
  • 3.8. The role of AI in the customer experience
  • 3.9. The role of AI in sales and personalised marketing
  • 3.10. AI in entreprise solution - Vertical industries
  • 3.11. The adoption of generative AI tools in the telecommunications sector

4. The challenges of AI adoption

  • 4.1. Challenges for AI adoption in the telecoms sector
  • 4.2. Regulatory compliance
  • 4.3. Ethical considerations