人工智慧应用案例分析:全球视角
市场调查报告书
商品编码
1859693

人工智慧应用案例分析:全球视角

AI Use Case Analysis: Global Outlook

出版日期: | 出版商: BCC Research | 英文 115 Pages | 订单完成后即时交付

价格

本报告调查了世界各地人工智慧应用的现状和未来前景,并总结了新兴人工智慧技术、按技术和行业分析人工智慧用例、分析Start-Ups中的人工智慧用例以及人工智慧用例的未来展望。

目录

第一章执行摘要

  • 研究目标和目的
  • 调查范围
  • 开展研究的原因
  • 市场摘要
  • 以技术为中心的观点
  • 以产业为中心的观点
  • 未来趋势与发展
  • 结论

第二章 新兴人工智慧技术

  • 人工智慧概述
  • 人工智慧的类型
  • 新兴人工智慧技术
  • 人工智慧世代
  • 边缘人工智慧
  • 可解释人工智慧(XAI)
  • 量子机器学习(QML)
  • 大规模语言模型(LLM)
  • 智能体人工智慧
  • 强化学习
  • 其他的

第三章:按科技分類的人工智慧应用案例分析

  • 概述
  • 重点总结
  • 机器人技术:人工智慧在机器人技术中的应用;人工智慧在机器人技术中的应用案例;网路安全:人工智慧在数位双胞胎安全技术中的应用;人工智慧在数位双胞胎安全数位双胞胎中的主要应用;人工智慧在数位孪生技术中的应用扩增实境VR)技术中的主要应用;人工智慧在扩展现实、扩增实境和虚拟实境(XR、AR 和 VR)技术中的应用案例;区块链:人工智慧在区块链技术中的应用;人工智慧在区块链技术中的应用案例;物联网:人工智慧在物联网技术中的应用;人工智慧在物联网技术中的应用案例;边缘运算

第四章 产业人工智慧应用案例分析

  • 概述
  • 重点总结
  • 医疗保健 AI 应用案例;金融与银行 AI 应用案例;物流 AI 应用案例;零售与电商 AI 应用案例;教育与教育科技 AI 应用案例;媒体与通讯AI 应用案例;电信 AI 应用案例;通讯与天然气 AI 应用案例;汽车 AI 应用案例;製造业 AI 应用案例;其他行业 AI 应用案例;

第五章:人工智慧在Start-Ups的应用案例分析

  • 概述
  • 重点总结
  • 营运应用案例 案例 1:Urban Company 利用人工智慧实现客户咨询回应自动化 案例 2:Virtual Dental Care 利用人工智慧减少行动牙科诊所的纸本工作 产品开发与创新应用案例 案例 1:Stitch Fix 利用人工智慧实现个人化和库存优化 案例 2:利用 OpenAI 的 GPT 模型来推进自然语言处理 (NLP) 基础设施2:在日本智慧老化城市中应用人工智慧 销售与行销应用案例 案例 1: 推广实现大规模超个性化推广 案例 2:人工智慧驱动的对话智慧用于销售辅导 人力资源 (HR) 与人才管理应用案例 案例 1:JobGet 实现人工智慧主导的招聘 案例 2:CrewBloom 的人工智慧驱动人才的管理

第六章:人工智慧应用案例的未来展望

  • 科技进步推动人工智慧应用案例的演变
  • 重点总结
  • 人工智慧在机器人领域的未来应用案例;人工智慧在网路安全领域的未来应用案例;人工智慧在扩展现实(XR)、扩增实境(AR)和虚拟实境(VR)领域的未来应用案例;人工智慧在区块链领域的未来应用案例;人工智慧在边缘运算领域的未来应用案例

第七章附录

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