市场调查报告书

产业用途的AI

AI in Industrial Applications

出版商 ABI Research 商品编码 893716
出版日期 内容资讯 英文 27 Pages
商品交期: 最快1-2个工作天内
价格
如有价格方面的疑问请按下「询问」键来信查询
Back to Top
产业用途的AI AI in Industrial Applications
出版日期: 2019年07月25日内容资讯: 英文 27 Pages
简介

本报告提供工业制造的各AI开发企业所扮演的角色和产品的相关调查,工业生产的AI概要,主要趋势,最佳业务实践,市场预测,主要供应商的简介,及主要建议等资讯汇整。

第1章 摘要整理

第2章 人工智能 (AI)的定义

第3章 工业生产的AI概要

  • 利用案例
  • AI的定位

第4章 主要趋势

  • 具恰当的结构要素很重要
  • 无教师学习是实际上的工业制造中的ML技术
  • 新的AI技术开始出现
  • 市场引进率的变动

第5章 工业制造中AI展开的最佳业务实践

第6章 市场预测

第7章 主要供应商的简介

  • 云端服务供应商
  • 智慧工厂手工业环平台供应商
  • 纯网路营运产业用AI平台、服务供应商
  • 产业用边缘AI闸道器、伺服器供应商
  • 晶片组供应商
  • 系统厂商
  • 连接性供应商

第8章 主要建议、结论

  • AI的整体觀点
  • AI开发企业整体赞同是必须的
  • 公司内部专家或第三方的系统厂商

报告中所谈到的企业

  • ABB Ltd
  • Ability Inc.
  • ADLINK
  • Alibaba Group
  • Amazon
  • Azure
  • Baidu, Inc.
  • Bosch
  • C3
  • EMC Corporation
  • Foxconn
  • Google
  • Hitachi Ltd
  • HPE
  • Huawei
  • IBM Corp
  • Intel Corporation
  • Microsoft Corporation
  • Movidius
  • Myriad Group
  • NN, Inc.
  • NVIDIA
  • Oracle Corporation
  • Qualcomm Inc
  • SAP
  • Sight Machine
  • Tencent
  • Xilinx, Inc.
目录
Product Code: AN-5119

For the longest time, Artificial Intelligence (AI) has been touted as a powerful technology that will revolutionize the industrial manufacturing space. The sentiment has its validity, but there is no shortcut to AI. Firstly, AI in industrial manufacturing is an ensemble of various use cases at various phases of manufacturing, such as generative design in product development, production forecasting in inventory management, machine vision, defect inspection, production optimization and predictive maintenance on production phase. Secondly, the right data and personnel are needed for AI implementation. Many existing equipment and tools on the factory floor remains unconnected. In addition, manufacturers are facing enormous competition in building and training in-house data science team for AI implementation.

Once the right foundations are in place, including data architecture, AI frameworks, AI engines and on-premise hardware, manufacturers can start to leverage the capabilities that AI can offer. At the moment, most AI solutions are able to collect data and perform unsupervised machine learning to generate insights and recommendations, with supervision from AI experts. The rise of automated machine learning will free AI experts from the more mundane AI optimization tasks and allow them to explore new use cases for AI. However, not all AI models need to be complex. There are many low-hanging fruits that simple AI models are more than capable to address in today's factory.

To provide a clear picture on commercial AI applications, this report explores the roles and offering from different implementors of AI in industrial manufacturing, including cloud service providers, industrial cloud platform vendors, pure-play AI startups, system integrators, chipset and industrial server manufacturers and connectivity service providers. Manufacturers who want to implement AI will definitely need to engage with these companies and partner with them in their AI journey.

Table of Contents

1. EXECUTIVE SUMMARY

2. DEFINITION OF ARTIFICIAL INTELLIGENCE

  • 2.1. Classes of Machine Learning

3. OVERVIEW OF AI IN INDUSTRIAL MANUFACTURING

  • 3.1. Use Case-Centric
  • 3.2. Location of AI

4. KEY TRENDS

  • 4.1. Having the Right Building Blocks Matters
  • 4.2. Unsupervised Learning Is the De-Facto ML Technique in Industrial Manufacturing
  • 4.3. New AI Techniques Are on the Horizon
  • 4.4. Variation in Market Adoption Rate

5. BEST PRACTICES OF AI DEPLOYMENT IN INDUSTRIAL MANUFACTURING

6. MARKET FORECASTS

7. PROFILE OF KEY VENDORS

  • 7.1. Cloud Service Providers
  • 7.2. Smart Manufacturing Platform Vendors
  • 7.3. Pure-Play Industrial AI Platform and Service Providers
  • 7.4. Industrial Edge AI Gateway and Server Vendors
  • 7.5. Chipset Vendors
  • 7.6. System Integrators
  • 7.7. Connectivity Vendor

8. KEY RECOMMENDATIONS AND CONCLUSIONS

  • 8.1. Holistic View of AI
  • 8.2. AI Deployment Requires Company-Wide Buy-Ins
  • 8.3. In-House Expertise or Third-Party System Integrators

Companies Mentioned

  • ABB Ltd
  • Ability Inc.
  • ADLINK
  • Alibaba Group
  • Amazon
  • Azure
  • Baidu, Inc.
  • Bosch
  • C3
  • EMC Corporation
  • Foxconn
  • Google
  • Hitachi Ltd
  • HPE
  • Huawei
  • IBM Corp
  • Intel Corporation
  • Microsoft Corporation
  • Movidius
  • Myriad Group
  • NN, Inc.
  • NVIDIA
  • Oracle Corporation
  • Qualcomm Inc
  • SAP
  • Sight Machine
  • Tencent
  • Xilinx, Inc.
Back to Top