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封面
市场调查报告书
商品编码
1461259

2024 年全球人工智慧成熟度调查

Global AI Maturity Survey-2024
出版日期: | 出版商: Frost & Sullivan | 英文 36 Pages | 商品交期: 最快1-2个工作天内

价格
简介目录

人工智慧技术、采用优先顺序以及公司在产业中的进展分析

人工智慧有潜力为经济和社会带来重大利益。随着组织将人工智慧技术实施从概念验证转向企业部署，未能实施企业范围的人工智慧策略和蓝图可能会阻碍技术的快速部署。因此，分析组织的准备和成熟度非常重要，因为它与技术部署有关。

Frost & Sullivan 开发了一个四阶段的人工智慧成熟度框架，该框架考虑了人工智慧策略和蓝图清晰度、资料准备、监管合规性和政策调整以及技术和部署的各个阶段。为了评估人工智慧的成熟度，Frost & Sullivan 对近 700 个组织（即负责人工智慧采购的 IT 和业务决策者）进行了调查，并分析了它们的成熟度水平。结果提供了对组织中人工智慧采用的整体成熟度、产业中人工智慧采用的成熟度以及人工智慧成熟度的采用阶段的深入了解。它还为技术供应商和服务供应商提供了有关选定参数的人工智慧准备情况的视角，以观点创造客户价值的潜在机会，并帮助最终用户了解我们提供的整体环境的成熟度。

目录

研究目的和调查方法

  • 研究目的和调查方法
  • 受访者简介

人工智慧成熟度框架

  • 人工智慧成熟度框架
  • 人工智慧技术采用率整体上升，但企业成熟度仍较低
  • 主要发现
  • 按行业分類的人工智慧成熟度
  • 按行业分類的人工智慧成熟度：主要行业用例

全球人工智慧成熟度分析

  • 人工智慧成熟度：方向
  • 战略和蓝图的阐述
  • 制定人工智慧策略和蓝图
  • 资料准备
  • 资料准备框架
  • 监理合规性和政策一致性
  • 设计人工智慧监管合规性和政策时的关键考虑因素
  • 技术实施
  • 技术实施：扩大人工智慧部署

我们的目标

  • 加强整合和资料迁移支援服务
  • IT软体服务商在AI部署中的关键作用
  • 建立令人信服的价值命题

附录

  • 成长机会推动Growth Pipeline Engine（TM）
  • 为什么成长如此困难？
  • The Strategic Imperative 8（TM）
  • 附件清单
  • 免责声明
简介目录
Product Code: PFFE-69

Analysis of AI Technology, Adoption Priorities, and Progress of Enterprises Across Industries

AI holds the potential to deliver significant benefits for economies and societies. As organizations shift AI technology implementation from the proof-of-concept stage to enterprise deployment, failure to implement an AI enterprise-wide strategy and roadmap can impede faster technology deployment. Therefore, it is important to analyze organizations' readiness or maturity as it relates to technology deployment.

Frost & Sullivan has developed a 4-stage AI maturity framework that considers AI strategy and roadmap articulation; data readiness; regulatory compliance and policy alignment; and stage of technology and deployment. To assess AI maturity, Frost & Sullivan conducted a global survey with close to 700 organizations (i.e., IT and business decision-makers responsible for AI purchases) and analyzed their maturity levels. The results provide a glimpse of the following: overall maturity of AI adoption amongst organizations, maturity of AI adoption by industry verticals, and insights on the stages of AI maturity adoption. It also offers technology vendors and service providers a perspective on AI readiness with regard to select parameters to assess potential opportunities that will create customer value and help end users understand the level of maturity in the overall landscape.

Table of Contents

Research Objectives and Methodology

  • Research Objectives and Methodology
  • Respondent Profiles

AI Maturity Framework

  • AI Maturity Framework
  • Although AI Technology Adoption has Increased Overall, Enterprise Maturity Remains Low
  • Key Findings
  • AI Maturity by Industry
  • AI Maturity by Industry: Key Industry Use Case

Global AI Maturity Analysis

  • AI Maturity: Dimensions
  • Strategy and Roadmap Articulation
  • Building an AI Strategy and Roadmap
  • Data Readiness
  • Data Readiness Framework
  • Regulatory Compliance and Policy Alignment
  • Key Considerations When Designing AI Regulatory Compliance and Policy Measures
  • Technology Implementation
  • Technology Implementation: Scaling Up AI Deployments

The Way Forward

  • Strengthening Integration and Data Migration Support Service
  • Key Role of IT Software Services Vendors in AI Deployments
  • Building a Compelling Value Proposition

Appendix

  • Growth Opportunities Fuel the Growth Pipeline Engine™
  • Why is it Increasingly Difficult to Grow?
  • The Strategic Imperative 8™
  • List of Exhibits
  • Legal Disclaimer