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市場調查報告書
商品編碼
1289014
AI的用途與課題:AI對通訊業的影響Artificial Intelligence Applications and Challenges: Exploring the Impact of Artificial Intelligence on the Telecommunications Industry - Applications and Challenges |
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價格
簡介目錄
本報告提供通訊業的AI趨勢調查，AI技術概要，用途，價值鏈，通訊業中AI的主要用途和作用，AI引進的課題等資訊。
目錄
第1章 摘要整理
第2章 AI技術概要
- AI，機器學習，深層學習定義
- 主要的AI為基礎的技術與用途
- AI的價值鏈
第3章 通訊業主要的AI的用途
- 通訊的AI用途主要的類別
- 網路週期管理上AI所扮演的角色
- 纖維網路上AI所扮演的角色
- 行動網路上AI所扮演的角色
- 網路自動化上AI所扮演的角色
- 詐欺防止上AI所扮演的角色
- 節能上AI所扮演的角色
- 客戶體驗上AI所扮演的角色
- 銷售、個性化行銷上AI所扮演的角色
- 企業解決方案的AI:垂直產業
- 通訊領域中生成系AI工具的引進
第4章 AI引進的課題
- 通訊領域中AI引進的課題
- 法規遵守
- 倫理的關懷
簡介目錄
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
