通讯业中AI的地位

本报告提供通讯业的AI地位调查，AI技术概要，通讯领域中AI引进的推动因素，通讯业者的AI策略的案例研究等资讯。

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 通讯领域的AI的推进因素

• 通讯领域的主要课题
• 通讯领域的AI引进的推进因素
• 通讯领域的AI引进的推进因素- 5G及目标的演变
• 通讯领域的AI引进的推进因素- AI为基础的用途
• 通讯领域的AI引进的推进因素- 电脑网路传统的安全模式
• 通讯领域的AI引进的推进因素- 有效的网路管理
• 通讯领域的AI引进的推进因素- 收益增加，成本的削减

第4章 通讯业者的AI策略:案例研究

• Orange
• Telefonica
• Deutsche Telekom
• AT&T
• China Mobile

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.

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 key components of AI, and what is the AI value chain?

• How do telecom operators position themselves in the AI value chain?

• What are the drivers for telecom operators to adopt AI?

• What are the AI strategies of the major telecom operators?

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. Drivers of artificial intelligence in the telecom sector

• 3.1. Key challenges for the telecoms sector
• 3.2. Drivers of AI adoption in telecommunications
• 3.3. Drivers of AI adoption in telecoms - Evolution to 5G and beyond
• 3.4. Drivers of AI adoption in telecoms - AI-based applications
• 3.5. Drivers of AI adoption in telecoms - Increasing sophistication of cyber-attacks
• 3.6. Drivers of AI adoption in telecoms - Effective network management
• 3.7. Drivers of AI adoption in telecoms - Revenue growth, cost reduction

4. Telco AI strategy case studies

• 4.1. Orange
• 4.2. Telefonica
• 4.3. Deutsche Telekom
• 4.4. AT&T
• 4.5. China Mobile