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市場調查報告書
商品編碼
1461259

2024 年全球人工智慧成熟度調查

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個工作天內

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簡介目錄

人工智慧技術、採用優先順序以及公司在產業中的進展分析

人工智慧有潛力為經濟和社會帶來重大利益。隨著組織將人工智慧技術實施從概念驗證轉向企業部署，未能實施企業範圍的人工智慧策略和藍圖可能會阻礙技術的快速部署。因此，分析組織的準備和成熟度非常重要，因為它與技術部署有關。

Frost & Sullivan 開發了一個四階段的人工智慧成熟度框架，該框架考慮了人工智慧策略和藍圖清晰度、資料準備、監管合規性和政策調整以及技術和部署的各個階段。為了評估人工智慧的成熟度，Frost & Sullivan 對近 700 個組織（即負責人工智慧採購的 IT 和業務決策者）進行了調查，並分析了它們的成熟度水平。結果提供了對組織中人工智慧採用的整體成熟度、產業中人工智慧採用的成熟度以及人工智慧成熟度的採用階段的深入了解。它還為技術供應商和服務供應商提供了有關選定參數的人工智慧準備情況的視角，以觀點創造客戶價值的潛在機會，並幫助最終用戶了解我們提供的整體環境的成熟度。

目錄

研究目的和調查方法

  • 研究目的和調查方法
  • 受訪者簡介

人工智慧成熟度框架

  • 人工智慧成熟度框架
  • 人工智慧技術採用率整體上升，但企業成熟度仍較低
  • 主要發現
  • 按行業分類的人工智慧成熟度
  • 按行業分類的人工智慧成熟度：主要行業用例

全球人工智慧成熟度分析

  • 人工智慧成熟度：方向
  • 戰略和藍圖的闡述
  • 制定人工智慧策略和藍圖
  • 資料準備
  • 資料準備框架
  • 監理合規性和政策一致性
  • 設計人工智慧監管合規性和政策時的關鍵考慮因素
  • 技術實施
  • 技術實施：擴大人工智慧部署

我們的目標

  • 加強整合和資料遷移支援服務
  • IT軟體服務商在AI部署中的關鍵作用
  • 建立令人信服的價值命題

附錄

  • 成長機會推動Growth Pipeline Engine（TM）
  • 為什麼成長如此困難？
  • The Strategic Imperative 8（TM）
  • 附件清單
  • 免責聲明
簡介目錄
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