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埃森哲:2025主权AI:掌控人工智能未来:从风险管控到增长加速研究报告(中译版)(24页).pdf

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1、Sovereign AI:Own your AI future From managing risk to accelerating growthCopyright 2025 Accenture.All rights reserved.2Sovereign AI|Own your AI future:From managing risk to accelerating growthAuthorsGlobalEurope,Middle East,AfricaAsia PacificDavid Wood Senior Managing Director Global Technology Cons

2、ulting Lead,Global Sovereign AI Lead Mauro Macchi CEO Europe,Middle East and Africa(EMEA)Kunal ShahManaging Director Sovereign AI Lead Middle East and Asia PacificBryan Rich Senior Managing Director Global AI Lead Health,Public Services and DefenseSurya Mukherjee Senior Principal,Sovereign AI Global

3、 Research LeadMauro CapoDigital Sovereignty Lead Europe,Middle East and Africa(EMEA)Copyright 2025 Accenture.All rights reserved.3Sovereign AI|Own your AI future:From managing risk to accelerating growthArtificial intelligence has moved beyond being a technological marvel.It has become the foundatio

4、n for national competitiveness and business survival.Yet its foundationsmodels,computing power and dataare concentrated in a few hands.In 2024,nearly 70%of leading AI models originated in the United States and another quarter in China1.The result is a level of dependence for some countries that rais

5、es important questions about resilience,competitiveness and long-term innovation.This path to risk mitigation and resilience also reveals a growth opportunity:Sovereign AI.The good news?Only one-third of an organizations AI workloads need to be sovereign.Working with a mix of global and local provid

6、ers leads to more opportunities for innovation and growth.IntroductionCopyright 2025 Accenture.All rights reserved.4Sovereign AI|Own your AI future:From managing risk to accelerating growthIntroductionSovereign AI refers to a countrys ability to independently develop and deploy AI by relying on its

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根据《Sovereign AI: Own your AI future》文章,以下是全文关键点: 1. **AI主权重要性**:AI已成为国家竞争力基础,但模型、计算能力和数据集中在少数国家,引发对韧性和竞争力的担忧。 2. **AI主权定义**:指国家独立开发和应用AI的能力,依靠自身基础设施、数据、模型和人才。 3. **AI主权机遇**:约三分之一的AI工作负载需要主权,与全球和本地供应商合作可促进创新和增长。 4. **AI主权驱动因素**:包括合规、数据控制、网络安全、运营连续性、创新、本地竞争力、减少对全球AI提供商的依赖和增加竞争优势。 5. **AI主权实施**:需要CEO领导、重新定义主权为价值创造、构建混合生态系统、架构灵活的AI。 6. **AI主权挑战**:包括供应商选择、数据治理、模型选择、合规和治理。 7. **AI主权成熟度**:航空和国防、政府和公共部门、健康行业在主权成熟度方面领先,欧洲是主权行动的中心。
企业如何把握未来?" AI时代的制高点" 企业如何乘风破浪?"
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