埃森哲（Accenture）：2025人工智能规模化应用领跑者指南：行业领导者经验启示（英文版）（39页）.pdf

1、The front-runners guide to scaling AILessons from industry leadersAuthorsSenthil Ramani Global Lead for Data&AI,AccenturePhilippe RoussiereGlobal Lead for Innovation and AI,Accenture ResearchLan Guan Chief AI Officer,AccentureThe front-runners guide to scaling AI:Lessons from industry leaders2About

2、the researchWe surveyed 2,000 C-suite and data-science executives,who lead 1,998 of the worlds largest companies(revenues greater than$1 billion,which are headquartered in 15 countries(Australia,Brazil,Canada,China,Germany,France,India,Italy,Japan,Saudi Arabia,Singapore,Spain,United Arab Emirates,Un

3、ited Kingdom and United States)and operate in nine industries(banking,insurance,energy,consumer goods and services,life sciences,utilities,retail,public services and communications and media).The survey,fielded from June to July 2024,aimed to shed light on how companies develop and deploy AI models

4、to create financial and non-financial value.The survey covered topics such as organizations data and AI strategy,data and AI architecture,budgets forand investments instrategic bets,talent strategy,ecosystem strategy,responsible AI,AI-related challenges and AI adoption rates.To identify the most imp

5、ortant strategic bets(see“Get strategic,”above),we also interviewed numerous C-suite experts within and outside Accenture.In addition,we deployed machine learning to identify both the key capabilities associated with scaling strategic bets and companies progress in developing those capabilities.The

6、research was further enriched with insights from our extensive experience helping clients scale AI solutions.By drawing on these diverse inputs,our findings thus capture both strategic perspectives on AI and real-world execution challenges.For the purposes of this report,“scaling AI”refers to the pr