生成式人工智慧對通訊業的影響：評估創新與應用

應用、解決方案與未來機會

本研究檢驗了產生人工智慧技術對通訊業各個方面的變革性影響，包括人工智慧主導的創新如何改善網路最佳化、客戶服務和業務效率，分析人工智慧在預測性維護、詐欺檢測和個人化客戶經驗中的應用，並探討了在通訊部署生成人工智慧的經濟影響、潛在挑戰和道德考量。

通訊的生成性人工智慧從兩個角度呈現：致力於其可以解決的業務功能的應用領域，以及致力於生成性人工智慧目的是為通訊業提供的核心或主要功能的解決方案。

透過案例研究和產業資料評估，全面洞察生成式人工智慧如何推動通訊業成長、提升服務品質、促進創新，進而幫助通訊業者提升投資收益（ROI）。這些寶貴的洞察將幫助通訊業者、政策制定者、技術開發者和其他相關人員策略性地利用人工智慧的進步，獲得競爭優勢和永續發展。

目錄

策略要務

• 為何成長變得越來越困難？
• The Strategic Imperative 8
• 三大策略要務對通訊業生成式人工智慧應用的影響
• 推動成長Growth Pipeline Engine（TM）機會
• 調查方法

成長機會分析

• 分析範圍
• 區隔
• 簡介：通訊業的現狀
• 引言：產業挑戰
• 簡介：GenAI 作為解決方案

成長引擎

• 成長動力
• 成長抑制因素

應用領域及優勢

• 通訊－特定的應用領域與優勢
• GenAI-Telecom 採用實例
• GenAI 作為電信特定解決方案的推動者
• 為通訊提供 GenAI 功能的領先平台
• GenAI 在通訊營運中的採用水準和應用時間表

成長機會宇宙

• 成長機會1：加速基礎設施和人才發展，以解決資料隱私、可擴展性和成本的擔憂
• 成長機會2：重視夥伴關係，快速部署GenAI
• 成長機會3：應對 GenAI 整合挑戰，打造可擴展解決方案

附錄

• 技術就緒程度（TRL）：描述

後續步驟

• 成長機會的益處和影響
• 後續步驟
• 免責聲明

Applications, Solutions, and Future Opportunities

The study explores the transformative effects of generative AI technologies on various facets of the telecom industry. It includes an examination of how AI-driven innovations enhance network optimization, customer service, and operational efficiency; an analysis of AI applications in predictive maintenance, fraud detection, and personalized customer experiences; and an investigation of the economic implications, potential challenges, and ethical considerations associated with the deployment of generative AI in telecom.

Generative AI for telecom is presented from two perspectives: application areas focusing on business functions it can cater to; and solutioning, highlighting the core enablement or key functionality it aims to provide in the telecom industry.

Through an evaluation of case studies and industry data, the research provides a comprehensive understanding of how generative AI can drive growth, improve service quality, and foster innovation in the telecom industry so that telcos can improve their returns on investment. The valuable insights will help stakeholders, including telecom operators, policymakers, and technology developers, strategically leverage AI advancements for competitive advantage and sustainable development.

• This report explores the transformative impact of Generative AI (GenAI) in the telecom industry, focusing on its growth potential, challenges, and application areas.
• The report identifies emerging growth opportunities and real-world adoption of GenAI in telecom, exploring key drivers, restraints, and application areas such as customer experience, network optimization, and fraud prevention.
• It covers GenAI adoptions and platforms, predicts adoption timelines, and provides actionable strategies for telecom operators, GenAI providers, and service partners to accelerate innovation and scalability.
• The sections on application areas also illuminates ways telecom companies can enhance operational efficiency, optimize networks, and overcome challenges, while providing a roadmap for GenAI adoption.
• These insights also enable GenAI companies and service providers to identify telecom-specific pain points, deliver tailored solutions, and build partnerships to drive faster deployments and scalable, AI-driven innovations.
• By addressing growth opportunities and challenges, this report empowers stakeholders to unlock GenAI’s advanced potential in driving telecom innovation, efficiency, and profitability.

Table of Contents

Strategic Imperatives

• Why Is It Increasingly Difficult to Grow? The Strategic Imperative 8: Factors Creating Pressure on Growth
• The Strategic Imperative 8
• The Impact of the Top 3 Strategic Imperatives on Generative AI Applications in the Telecom Industry
• Growth Opportunities Fuel the Growth Pipeline Engine
• Research Methodology

Growth Opportunity Analysis

• Scope of Analysis
• Segmentation
• Introduction-Current State of the Telecom Industry
• Introduction-Industry Challenges
• Introduction-GenAI as a Solution

Growth Generator

• Growth Drivers
• Growth Restraints

Application Areas and Benefits

• Telecom-Specific Application Areas and Adoption Benefits
• GenAI-Telecom Adoption Instances
• GenAI as an Enabler in Telecom-Specific Solutions
• Key Platforms Offering GenAI Functionality for Telecom
• Possible Adoption Levels and Application Timeline for GenAI in Telecom Operations

Growth Opportunity Universe

• Growth Opportunity 1: Promote Infrastructure and Talent Establishment to Address Data Privacy, Scalability, and Cost Concerns
• Growth Opportunity 2: Focus on Partnerships for Faster GenAI Deployment
• Growth Opportunity 3: Tackle GenAI Integration Challenges Pre-emptively for a Scalable Solution

Appendix

• Technology Readiness Levels TRL: Explanation

Next Steps

• Benefits and Impacts of Growth Opportunities
• Next Steps
• Legal Disclaimer