主权云端部署在将人工智慧引入电信网路方面的作用

本报告探讨了主权云端部署在电信网路采用人工智慧中的作用，涵盖电信营运商的资料生成来源及其对主权云端采用的影响、电信网路中的连接策略、主权云端整合与传统和超大规模主导的云端模型、电信营运商和云端供应商在部署主权云端解决方案时面临的课题以及对供应商的策略建议。

实际好处：

• 接收特定于电信公司的用例，这些用例展示了主权云的优势，尤其是在人工智慧/分析驱动的网路自动化方面
• 全面了解营运商和云端供应商在营运商网路上部署主权云端解决方案时面临的技术、监管、营运和商业课题
• 获得关于云端服务供应商如何客製化主权云端以解决成本、可扩展性和整合课题以及确保遵守当地法规的实用建议
• 获得如何利用生态系统合作伙伴关係的指导，以帮助营运商克服采用主权云的营运、管理和组织障碍

重要问题的答案：

• 主权云端如何帮助电信公司部署关键的 AI 用例？
• 电信云端环境可以采取哪些措施来最大限度地遵守资料驻留、主权法律和监管要求？
• 主权云端提供者如何透过明确的 SLA、安全保障和确保资料主权的组织措施与营运商建立信任？
• 电信公司在采用主权云端时面临哪些商业课题？供应商如何在保持灵活性和互通性的同时降低这些风险？

研究亮点：

• 全面分析 2030 年之前的电信资料趋势，详细说明资料产生来源及其对主权云端采用的影响
• 对电信网路连接策略进行详细评估，将主权云端整合与传统和超大规模主导的云端模型进行比较
• 电信公司和云端服务供应商在部署主权云端解决方案时面临的课题的详细地图，包括监管、营运和经济障碍
• 向供应商提供策略建议，利用技术进步和生态系统合作伙伴关係来加速营运商网路中主权云的采用

目录

第1章 主要调查结果

第2章 主要预测

第3章 主要企业生态系统

• AWS
• IBM
• ORACLE
• SNOWFLAKE
• VMWARE BY BROADCOM

第四章 主权云在电信网路中的 AI 应用

• 电信业者网路的主权云端架构
• 主权云端支援的电信 AI 用例

第5章 通讯业者的AI的云端引进的课题

Actionable Benefits:

• Telco-specific use cases demonstrating sovereign cloud benefits, particularly for Artificial Intelligence (AI)/analytics-driven network automation.
• Comprehensive insight into technology, regulatory, operational, and commercial challenges telcos and cloud providers face in deploying sovereign cloud solutions for telco networks.
• Actionable recommendations for cloud service providers on how to tailor their sovereign cloud offerings to address cost, scalability, and integration challenges, while ensuring compliance with local regulations.
• Guidance on leveraging ecosystem partnerships to help telcos overcome operational, management, and organizational hurdles in sovereign cloud adoption.

Critical Questions Answered:

• How can sovereign clouds enable telcos to deploy critical AI use cases?
• What steps are necessary to ensure maximum compliance with data residency, sovereignty laws, and regulatory requirements in telco cloud environments?
• How can sovereign cloud providers build trust with telcos through clear Service-Level Agreements (SLAs), security assurances, and organizational measures that guarantee data sovereignty?
• What commercial challenges do telcos face in adopting sovereign clouds, and how can vendors mitigate these risks, while maintaining flexibility and interoperability?

Research Highlights:

• Comprehensive analysis of telco data trends by 2030, detailing data generation sources and their impact on sovereign cloud adoption.
• In-depth evaluation of connectivity strategies in telco networks, comparing sovereign cloud integration with traditional and hyperscaler-driven cloud models.
• Detailed mapping of challenges telcos and cloud providers face in deploying sovereign cloud solutions, including regulatory, operational, and economic barriers.
• Strategic recommendations for vendors on leveraging technology advancements and ecosystem partnerships to enhance sovereign cloud adoption in telco networks.

Who Should Read This?

• Telecom product development managers responsible for overcoming technical challenges and designing sovereign cloud solutions that balance security, compliance, and scalability.
• Sales and business development executives tasked with positioning and selling sovereign cloud offerings to telcos, while addressing concerns around cost, integration, and regulatory compliance.
• Chief Technology Officers (CTOs) and network architects who need to align cloud and AI-driven Operations Support System (OSS)/Business Support System (BSS) strategies with market demands, while ensuring interoperability, security, and operational efficiency.
• Regulatory and compliance officers navigating complex sovereignty laws and data residency requirements in telco cloud environments.
• Strategic partnership and ecosystem leads looking to collaborate with telcos, cloud providers, and AI vendors to drive sovereign cloud adoption.

TABLE OF CONTENTS

1 KEY FINDINGS

2 KEY FORECASTS

3 KEY COMPANIES AND ECOSYSTEMS

• 3.1 AWS
• 3.2 IBM
• 3.3 ORACLE
• 3.4 SNOWFLAKE
• 3.5 VMWARE BY BROADCOM

4 SOVEREIGN CLOUD DEPLOYMENTS FOR AI IN TELCO NETWORKS

• 4.1 SOVEREIGN CLOUD ARCHITECTURES FOR TELCO NETWORKS
• 4.2 TELCO AI USE CASES ENABLED BY SOVEREIGN CLOUDS

5 CHALLENGES IN CLOUD DEPLOYMENTS FOR AI IN TELCOS