人工智慧應用案例分析:全球視角
市場調查報告書
商品編碼
1859693

人工智慧應用案例分析:全球視角

AI Use Case Analysis: Global Outlook

出版日期: | 出版商: BCC Research | 英文 115 Pages | 訂單完成後即時交付

價格

本報告調查了世界各地人工智慧應用的現狀和未來前景,並總結了新興人工智慧技術、按技術和行業分析人工智慧用例、分析Start-Ups中的人工智慧用例以及人工智慧用例的未來展望。

目錄

第1章執行摘要

  • 研究目標和目的
  • 調查範圍
  • 開展研究的原因
  • 市場摘要
  • 以技術為中心的觀點
  • 以產業為中心的觀點
  • 未來趨勢與發展
  • 結論

第2章 新興人工智慧技術

  • 人工智慧概述
  • 人工智慧的類型
  • 新興人工智慧技術
  • 人工智慧世代
  • 邊緣人工智慧
  • 可解釋人工智慧(XAI)
  • 量子機器學習(QML)
  • 大規模語言模型(LLM)
  • 智慧體人工智慧
  • 強化學習
  • 其他

第3章:按科技分類的人工智慧應用案例分析

  • 概述
  • 重點總結
  • 機器人技術:人工智慧在機器人技術中的應用;人工智慧在機器人技術中的應用案例;網路安全:人工智慧在數位雙胞胎安全技術中的應用;人工智慧在數位雙胞胎安全數位雙胞胎中的主要應用;人工智慧在數位孿生技術中的應用擴增實境VR)技術中的主要應用;人工智慧在延展實境、擴增實境和虛擬實境(XR、AR 和 VR)技術中的應用案例;區塊鏈:人工智慧在區塊鏈技術中的應用;人工智慧在區塊鏈技術中的應用案例;物聯網:人工智慧在物聯網技術中的應用;人工智慧在物聯網技術中的應用案例;邊緣運算

第4章 產業人工智慧應用案例分析

  • 概述
  • 重點總結
  • 醫療保健 AI 應用案例;金融與銀行 AI 應用案例;物流 AI 應用案例;零售與電商 AI 應用案例;教育與教育科技 AI 應用案例;媒體與通訊AI 應用案例;電信 AI 應用案例;通訊與天然氣 AI 應用案例;汽車 AI 應用案例;製造業 AI 應用案例;其他行業 AI 應用案例;

第5章:人工智慧在Start-Ups的應用案例分析

  • 概述
  • 重點總結
  • 營運應用案例 案例 1:Urban Company 利用人工智慧實現客戶諮詢回應自動化 案例 2:Virtual Dental Care 利用人工智慧減少行動牙科診所的紙本工作 產品開發與創新應用案例 案例 1:Stitch Fix 利用人工智慧實現個人化和庫存最佳化 案例 2:利用 OpenAI 的 GPT 模型來推進自然語言處理 (NLP) 基礎設施2:在日本智慧老化城市中應用人工智慧 銷售與行銷應用案例 案例 1: 推廣實現大規模超個性化推廣 案例 2:人工智慧驅動的對話智慧用於銷售輔導 人力資源 (HR) 與人才管理應用案例 案例 1:JobGet 實現人工智慧主導的招聘 案例 2:CrewBloom 的人工智慧驅動人才的管理

第6章:人工智慧應用案例的未來展望

  • 科技進步推動人工智慧應用案例的演變
  • 重點總結
  • 人工智慧在機器人領域的未來應用案例;人工智慧在網路安全領域的未來應用案例;人工智慧在延展實境(XR)、擴增實境(AR)和虛擬實境(VR)領域的未來應用案例;人工智慧在區塊鏈領域的未來應用案例;人工智慧在邊緣運算領域的未來應用案例

第7章附錄

Product Code: AIT002B

This report provides an overview of emerging artificial intelligence (AI) technologies and their applications across various industries. It covers emerging AI technologies and their applications and use cases in several industry verticals.

Report Scope

This report provides an in-depth examination of the current and future landscape of AI applications. Its multi-dimensional analysis addresses both the technological advances driving AI and the many ways these advances are being leveraged across various industries and by emerging businesses.

  • The report provides an analysis of the latest and emerging AI technologies, such as genAI, edge AI, eXplainable AI (XAI), QML, large language models (LLMs), agentic AI, reinforcement learning and others (federated AI and neuromorphic computing), and their significance in the evolving AI ecosystem.
  • The AI use case analysis by technology, where practical applications of AI are explored across a spectrum of underlying technologies, including robotics, cybersecurity, digital twins, XR, AR, VR, blockchain, IoT, and edge computing is explained in detail. It presents the problems that AI solves within each technological context, the solutions implemented, and the resulting outcomes.
  • The detailed analysis of AI use cases by industry covers healthcare, finance and banking, logistics, retail and e-commerce, education and edtech, media and entertainment, telecom, oil and gas, automotive, manufacturing and others (agriculture, aerospace and defense, construction and mining).
  • It also includes a section on AI use case analysis for startups. It examines how companies are deploying AI for operational efficiency, product innovation, compliance, sales and marketing, and talent management.
  • The study offers a future perspective on AI use cases, analyzing how AI applications will continue to evolve and reshape industries and technologies, emphasizing areas such as robotics and cybersecurity.

Report Includes

  • A comprehensive and real-time analysis of the evolving artificial intelligence (AI) technology landscape and their applications across various industries.
  • Understanding of the latest and emerging AI technologies, and their significance in the evolving AI ecosystem.
  • Technology-specific AI use case analyses for robotics, cybersecurity, digital twin, AR/VR, blockchain, edge computing, and IoT technologies.
  • Use Cases of AI for successful implementation across various end-use industries.
  • AI use case analysis for startups on how companies are deploying AI for operational efficiency, product innovation, compliance, sales and marketing, and talent management.
  • Insights into future AI Use Cases in the coming years, considering technological progress and shifting industry demands.

Table of Contents

Chapter 1 Executive Summary

  • Study Goals and Objectives
  • Scope of Report
  • Reasons for Doing the Study
  • Market Summary
  • Technology-Centric View
  • Industry-Centric View
  • Upcoming Trends and Developments
  • Conclusion

Chapter 2 Emerging Technologies in AI

  • Overview of AI
  • Types of AI
  • Emerging Technologies in AI
  • GenAI
  • Edge AI
  • XAI
  • QML
  • LLMs
  • Agentic AI
  • Reinforcement Learning
  • Others

Chapter 3 AI Use Case Analysis by Technologies

  • Overview
  • Key Takeaways
  • Robotics
  • Applications for AI in Robotics
  • Use Cases for AI in Robotics
  • Cybersecurity
  • Applications for AI in Cybersecurity
  • Use Cases for AI in Cybersecurity
  • Digital Twin
  • Key Applications for AI in Digital Twin
  • Use Cases for AI in Digital Twin
  • XR, Augmented Reality (AR) and Virtual Reality (VR)
  • Key Applications for AI in XR, AR and VR
  • Use Cases for AI in XR, AR and VR
  • Blockchain
  • Applications for AI in Blockchain
  • Use Cases for AI in Blockchain
  • Internet of Things (IoT)
  • Applications for AI in IoT
  • Use Cases for AI in IoT
  • Edge Computing
  • Applications for AI in Edge Computing
  • Use Cases for AI in Edge Computing
  • Other Technologies
  • Use Cases for AI in Other Technologies

Chapter 4 AI Use Case Analysisby Industries

  • Overview
  • Key Takeaways
  • Healthcare
  • Use Cases for AI in Healthcare
  • Finance and Banking
  • Use Cases for AI in Finance and Banking
  • Logistics
  • Use Cases for AI in Logistics
  • Retail and E-Commerce
  • Use Cases for AI in Retail and E-Commerce
  • Education and EdTech
  • Use Cases for AI in Education and EdTech
  • Media and Entertainment
  • Use Cases for AI in Media and Entertainment
  • Telecommunications
  • Use Cases for AI in Telecommunication
  • Oil and Gas
  • Use Cases for AI in Oil and Gas
  • Automotive
  • Use Cases for AI in Automotive
  • Manufacturing
  • Use Cases for AI in Manufacturing
  • Other Industries
  • Use Cases for AI in Other Industries

Chapter 5 AI Use Case Analysisfor Startups

  • Overview
  • Key Takeaways
  • Operational Use Cases
  • Use Case 1: AI-Powered Customer Query Resolution at Urban Company
  • Use Case 2: AI-Powered Paperwork Reduction for Mobile Dental Clinics atVirtual Dental Care
  • Product Development and Innovation Use Cases
  • Use Case 1: AI-Driven Personalization and Inventory Optimization in Fashionat Stitch Fix
  • Use Case 2: Advancing NLP with OpenAI's GPT Models
  • Infrastructure and Compliance Use Cases
  • Use Case 1: AI for Global Climate Pledge Accountability
  • Use Case 2: AI for Smart Aging Cities in Japan
  • Sales and Marketing Use Cases
  • Use Case 1: Hyper-Personalized Outreach at Scale with SuperAGI
  • Use Case 2: AI-Powered Conversational Intelligence for Sales Coaching
  • Human Resources (HR) and Talent Management Use Cases
  • Use Case 1: AI-Driven Recruitment Transformation with JobGet
  • Use Case 2: AI in Talent Management at CrewBloom

Chapter 6 Future of AI Use Cases

  • Evolving AI Use Cases, by Technological Advances
  • Key Takeaways
  • Future of AI Use Cases in Robotics
  • Future of AI Use Cases in Cyber Security
  • Future of AI Use Cases in XR, AR and VR
  • Future of AI Use Cases in Blockchain
  • Future of AI Use Cases in Edge Computing

Chapter 7 Appendix

  • Methodology
  • Abbreviations

List of Tables

  • Table 1 : Abbreviations Used in the Report