生成式人工智慧对通讯业的影响：评估创新与应用

应用、解决方案与未来机会

该研究检验了产生人工智慧技术对通讯业各个方面的变革性影响，包括人工智慧主导的创新如何改善网路优化、客户服务和业务效率，分析人工智慧在预测性维护、诈欺检测和个人化客户经验中的应用，并探讨了在通讯部署生成人工智慧的经济影响、潜在挑战和道德考量。

通讯的生成性人工智慧从两个角度呈现：专注于其可以解决的业务功能的应用领域，以及专注于生成性人工智慧旨在为通讯业提供的核心或主要功能的解决方案。

透过案例研究和产业数据评估，我们全面洞察生成式人工智慧如何推动通讯业成长、提升服务品质、促进创新，进而帮助通讯业者提升投资收益(ROI)。这些宝贵的洞察将帮助通讯业者、政策制定者、技术开发者和其他相关人员策略性地利用人工智慧的进步，获得竞争优势和永续发展。

目录

策略要务

• 为何成长变得越来越困难？
• The Strategic Imperative 8
• 三大策略要务对通讯业生成式人工智慧应用的影响
• 推动成长Growth Pipeline Engine（TM）机会
• 调查方法

成长机会分析

• 分析范围
• 分割
• 简介：通讯业的现状
• 引言：产业挑战
• 简介：GenAI 作为解决方案

成长引擎

• 成长动力
• 成长抑制因素

应用领域及优势

• 通讯－特定的应用领域与优势
• GenAI：通讯部署实例
• GenAI 作为通讯的推动者：一个独特的解决方案
• 为通讯提供 GenAI 功能的领先平台
• GenAI 在通讯营运中的采用水准和应用时间表

成长机会宇宙

• 成长机会1：加速基础设施和人才发展，以解决资料隐私、可扩展性和成本的担忧
• 成长机会2：重视伙伴关係，快速部署GenAI
• 成长机会3：应对 GenAI 整合挑战，打造可扩展解决方案

附录

• 技术就绪程度 (TRL)：描述

后续步骤Next steps

• 成长机会的益处和影响
• 后续步骤Next steps
• 免责声明

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