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生成AIにおける通信事業者の戦略

出版：ABI Research （ABIリサーチ） 出版年月：2023年12月

Generative AI Telco Strategies

生成AIにおける通信事業者の戦略
Research Report | 4Q 2023 | AN-5957

ページ数38
種別英文市場調査報告書（PDF）
価格USD 3,000

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生成AIにおける通信事業者の戦略

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Actionable Benefits

  • Compare generative Artificial Intelligence (AI) use cases for telecommunications and build an application strategy that appreciates risks and opportunities.
  • Preempt common challenges to generative AI usage, planning in key areas such as data management, cost, security, and implementation.
  • Assess market impact and long-term support for network automation.

Critical Questions Answered

  • Which generative AI strategies are gaining traction in telecommunications?
  • Should generative AI be developed for network management, or reserved for customer care and business operations?
  • What are the main components of a successful telco generative AI strategy—from selecting a model type to data best practices?
  • How does generative AI relate to traditional AI in advancing automation?

Research Highlights

  • Interpretation of market trends in generative AI as a function of risk.
  • Detailed breakdowns of the benefits and challenges of generative AI for the telco network.
  • Analysis of AI-based automation in three progressive stages.

Who Should Read This?

  • Planners within telco organizations forming a generative AI strategy.
  • Innovation leaders for Communication Service Providers (CSPs) who need to address the challenges of generative AI implementation.
  • Business executives for CSPs who need to calibrate generative AI plans with broader company culture and strategy.
  • Decision-makers for organizations that offer telco solutions for generative AI (e.g., platforms, data) to assess opportunities in the network.

Table of Contents

Executive Summary

Recommendations

Generative AI and Its Use

  • Use Cases: Applicability
  • Markets: Applications and Trends
  • Interpretation of Market Trends

Generative AI’s Telco Benefits

  • Operational Streamlining
  • Performance Improvements

Challenges

  • Misalignment with Business Strategy
  • Investing in Proprietary Models
  • Protecting Customer Data While Using Public Models
  • Managing Data for Generative AI Models
  • Building Explainable Models
  • Implementation Time Frame

Strategies for Use

  • Use Case Selection
  • Model Type Selection
  • Organizational Adaptations

Market Impact

Profiles of Select Commercial Entities

  • Communication Service Providers
  • Infrastructure Vendors

Companies Mentioned

  • AT&T
  • Azure
  • CSP Inc.
  • Deutsche Telekom
  • EnterpriseWeb
  • Microsoft Corporation
  • Netcracker
  • Nokia
  • Red Hat, Inc.
  • Ericsson
  • Google
  • Huawei
  • IBM Corp
  • SK corp
  • VMware, Inc.
  • Vodafone Group
  • Wind River

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