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埃森哲(Accenture):2025领先企业的AI规模化应用指南:战略部署与优势构建(中译版)(41页).pdf

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1、The front-runners guide to scaling AIHow to strategically scale AI and winPage 03Executive summaryPage 17 Scaling AIchallenges and key learningsPage 19 How front-runners are winning bigPage 20 The fundamental fiveContentsPage 06 What makes a company reinvention-ready for AI?Page 09 Breaking awayhow

2、front-runners are scaling AIPage 13The AI racewhich industries are taking the lead?Executive summaryFor businesses,securing a sustained advantage over competitors was long the Holy Graila coveted,yet elusive prize.Today,however,generative artificial intelligence and other forms of AI have flipped th

3、e script,bringing the previously unattainable within reach.Thats why the worlds largest companies are investing heavily in data and AI.But reinventing the enterprise with generative AI(gen AI)isnt simply a matter of deploying a few chatbots.Reinvention is about building advanced AI capabilities like

4、“agentic architecture”,networks of AI agents that go beyond automating routine tasks to orchestrating entire business workflows.Endowed with sophisticated reasoning,AI agents collaborate autonomously to improve quality,productivity and cost-efficiency at scale.Agentic architecture is spreading fast:

5、one-third of the companies we surveyed for this report(See About the research on page 38)are already using AI agents to strengthen their innovation capabilities.Reinvention thus requires integrating AI deeply into the core of a companys strategy.To do this,businesses,under the proactive leadership o

6、f their CEO and board,must go beyond surface-level applications of AI and prioritize structural and strategic changes that unlock AIs full potential.Though every business may want an AI-powered edge,many companies are still struggling to advance beyond their initial AI experiments.A big reason for t

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本文主要讨论了如何战略性地扩展人工智能(AI)以实现企业转型。主要观点包括: 1. 企业转型需要将AI深入整合到公司战略的核心。这需要CEO和董事会的积极领导,超越AI的表面应用,优先考虑结构性和战略性的变革。 2. 数据“就绪性”低是许多公司难以超越初步AI实验的主要原因。70%的公司承认在扩展AI时需要强大的数据基础。 3. 一些公司(“领跑者”)已经在使用生成性AI(gen AI)彻底改造企业方面取得了显著成功。这些公司成功地将“赌注”投资(如提高效率)与“战略赌注”(如彻底改造业务流程和工作流程)相结合。 4. 领跑者在AI平台成熟度、多学科团队建设、数据治理、AI治理和变革管理等方面表现出色。 5. 为了更有效地扩展战略赌注,公司需要实施五项基本实践:以价值为导向、重塑人才和工作方式、开发代理性和安全的数字核心、缩小负责任的AI差距以及推动持续的转型。 6. 领跑者在财务表现上明显优于其他公司,包括更高的收入增长和资本效率。 7. 尽管领跑者目前在AI领域领先,但所有公司都有改进的空间,因为没有一个公司在行业特定的战略赌注上实现了超过60%的扩展。
如何战略性地扩展AI以取得胜利? 哪些行业在AI竞赛中领先? 企业如何通过AI实现转型?
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