没有合适的资源?快使用搜索试试~ 我知道了~
温馨提示
This document provides an overview of Gartner AI-related research and analyst resources. Enterprise architecture and technology innovation leaders should leverage this reference to optimize Gartner support when defining and developing enterprise strategies and plans.
资源详情
资源评论
资源推荐
This research note is restricted to the personal use of gaoqiangc@cnsuning.com.
This research note is restricted to the personal use of gaoqiangc@cnsuning.com.
A Framework for Applying AI in the Enterprise
Published: 28 June 2017 ID: G00336031
Analyst(s): Bern Elliot, Whit Andrews
This document provides an overview of Gartner AI-related research and
analyst resources. Enterprise architecture and technology innovation leaders
should leverage this reference to optimize Gartner support when defining
and developing enterprise strategies and plans.
Key Findings
■
The term articial intelligence (AI) covers a broad and continuously evolving range of
technologies.
■
AI technologies are being used in many different applications and industries.
■
Enterprise planners often are unfamiliar with what AI can do for their enterprise and are
uncertain of how and where to start using AI-based solutions.
■
Recent advances in the AI areas of deep learning (deep neural networks) and allied areas of
natural-language processing (NLP) have spawned renewed interest in what advanced AI
applications can accomplish.
Recommendations
Enterprise architects looking to apply AI in the enterprise should:
■
Use the Gartner research outlined here to become familiar with AI and how it can be applied
within their enterprises.
■
Exploit areas of more signicant opportunity, including where enterprises use deep learning
(deep neural networks) and allied areas of NLP applications, to mine data quickly and efciently
to uncover underlying insights that humans would take much longer to discover, if at all.
■
Manage and exploit the AI-based features over time that will be nearly pervasive in all new
applications by 2020.
Table of Contents
Analysis..................................................................................................................................................3
This research note is restricted to the personal use of gaoqiangc@cnsuning.com.
This research note is restricted to the personal use of gaoqiangc@cnsuning.com.
What Is AI?.......................................................................................................................................6
An Executive and Strategic Perspective on AI.............................................................................7
Core AI Technologies........................................................................................................................8
Machine Learning, Deep Learning and Neural Networks.............................................................8
Natural-Language Processing, Speech Recognition and Text to Speech.................................... 9
Computer Vision.......................................................................................................................10
Machine Reasoning, Decision Making and Algorithms.............................................................. 11
Business Analytics and Data Science....................................................................................... 11
Robots and Sensors.................................................................................................................12
Leading AI Application Areas.......................................................................................................... 13
Bots, Chatbots and Virtual Assistants....................................................................................... 13
Conversational AI Platforms...................................................................................................... 14
Analytics and Predictive Analytics Models.................................................................................15
Smart Objects, Sensors and Environments...............................................................................16
AI in the Enterprise......................................................................................................................... 16
General Enterprise AI Strategies............................................................................................... 16
Customer Service and Support.................................................................................................17
Digital Business Initiatives......................................................................................................... 18
Digital Commerce and Digital Commerce Personalization......................................................... 19
Governance and Information Management for AI...................................................................... 19
Human Capital Management/Recruiting....................................................................................20
Internet of Things......................................................................................................................21
IT Service Monitoring/Help Desk...............................................................................................21
Legal, Ethical and Social Issues................................................................................................ 22
Sales........................................................................................................................................ 23
Security and Fraud................................................................................................................... 24
Workplace and Digital Workplace............................................................................................. 25
AI in Vertical Industries....................................................................................................................26
Automotive............................................................................................................................... 26
Banking, Asset and Wealth Management, Capital Markets....................................................... 27
Business Process Outsourcing — Customer Management, Finance and Accounting
Procurement, and Human Resources....................................................................................... 28
Consumer Products With AI..................................................................................................... 29
Government............................................................................................................................. 30
Healthcare, Life Science and Pharma....................................................................................... 31
Education (K-12 and Higher Education).................................................................................... 32
Page 2 of 38
Gartner, Inc. | G00336031
This research note is restricted to the personal use of gaoqiangc@cnsuning.com.
This research note is restricted to the personal use of gaoqiangc@cnsuning.com.
Insurance Services — Property, Casualty and Life.....................................................................32
Invest/Venture Capital and AI.................................................................................................... 33
Manufacturing Operations.........................................................................................................33
Retail........................................................................................................................................ 34
Supply Chain............................................................................................................................ 35
Telecom....................................................................................................................................35
Topics Specific to Regional AI Usage........................................................................................ 36
Gartner Recommended Reading.......................................................................................................... 36
List of Tables
Table 1. Core AI Technologies.................................................................................................................4
Table 2. Leading AI Application Areas..................................................................................................... 5
Table 3. AI in the Enterprise.................................................................................................................... 5
Table 4. AI in Vertical Industries...............................................................................................................6
List of Figures
Figure 1. A Framework for Applying AI in the Enterprise..........................................................................4
Figure 2. The Basics of Machine-Learning Technology............................................................................8
Figure 3. Detecting, Tracking and Characterizing People in Unconstrained Environments in Real Time
............................................................................................................................................................ 10
Figure 4. Predictive and Prescriptive Analytics Are Domains of AI and Machine Learning...................... 15
Figure 5. AI Technology Value Chain..................................................................................................... 17
Figure 6. Shifting Approach to Sales That Leverages AI and Machine Learning.....................................23
Figure 7. Old-School vs. New-School Security Products...................................................................... 24
Analysis
This document provides a framework to assist enterprise architects in understanding and applying
the broad and rapidly evolving area of articial intelligence (AI). Each section in this document
provides a brief overview of its topic, the names of analysts who can provide additional information
on the topic, and references to the Gartner published research that is most relevant.
Figure 1 provides an overview of the framework that divides the enterprise approach to AI into four
major areas.
Gartner, Inc. | G00336031
Page 3 of 38
This research note is restricted to the personal use of gaoqiangc@cnsuning.com.
This research note is restricted to the personal use of gaoqiangc@cnsuning.com.
Figure 1. A Framework for Applying AI in the Enterprise
Source: Gartner (June 2017)
Core AI technologies are the foundational AI technologies that underlie all AI solutions and are
applied in a wide variety of ways. Table 1 provides a list of these core AI technologies.
Table 1. Core AI Technologies
Core AI Technologies
Machine Learning, Deep Learning and Neural Networks
Natural-Language Processing, Speech Recognition and Text to Speech
Computer Vision
Machine Reasoning, Decision Making and Algorithms
Business Analytics and Data Science
Robots and Sensors
Source: Gartner (June 2017)
These core technologies are incorporated into a broad range of AI applications, which are then used
in a variety of ways in the enterprise. The section on leading AI application areas, summarized in
Table 2, describes some of the more common application areas for AI technologies. The ways in
which these application areas are then applied are described in subsequent sections.
Page 4 of 38
Gartner, Inc. | G00336031
This research note is restricted to the personal use of gaoqiangc@cnsuning.com.
This research note is restricted to the personal use of gaoqiangc@cnsuning.com.
Table 2. Leading AI Application Areas
Leading AI Application Areas
Bots, Chatbots and Virtual Assistants
Conversational AI Platforms
Analytics and Predictive Analytics Models
Smart Objects, Sensors and Environments
Source: Gartner (June 2017)
The section on AI in the enterprise, summarized in Table 3, provides an overview of how different
departments and service areas with an enterprise are applying or can apply AI.
Table 3. AI in the Enterprise
AI in the Enterprise
General Enterprise AI Strategies
Customer Service and Support
Digital Business Initiatives
Digital Commerce and Digital Commerce Personalization
Governance and Information Management for AI
Human Capital Management/Recruiting
Internet of Things
IT Service Monitoring/Help Desk
Legal, Ethical and Social Issues
Sales
Security and Fraud
Workplace and Digital Workplace
Source: Gartner (June 2017)
The section on AI in vertical industries, summarized in Table 4, provides an overview of how AI
technologies are being leveraged in key industries.
Gartner, Inc. | G00336031
Page 5 of 38
剩余37页未读,继续阅读
ippracticer
- 粉丝: 0
- 资源: 5
上传资源 快速赚钱
- 我的内容管理 展开
- 我的资源 快来上传第一个资源
- 我的收益 登录查看自己的收益
- 我的积分 登录查看自己的积分
- 我的C币 登录后查看C币余额
- 我的收藏
- 我的下载
- 下载帮助
最新资源
- 5G模组升级刷模块救砖以及5G模组资料路由器固件
- C183579-123578-c1235789.jpg
- Qt5.14 绘画板 Qt Creator C++项目
- python实现Excel表格合并
- Java实现读取Excel批量发送邮件.zip
- 【java毕业设计】商城后台管理系统源码(springboot+vue+mysql+说明文档).zip
- 【java毕业设计】开发停车位管理系统(调用百度地图API)源码(springboot+vue+mysql+说明文档).zip
- 星耀软件库(升级版).apk.1
- 基于Django后端和Vue前端的多语言购物车项目设计源码
- 基于Python与Vue的浮光在线教育平台源码设计
资源上传下载、课程学习等过程中有任何疑问或建议,欢迎提出宝贵意见哦~我们会及时处理!
点击此处反馈
安全验证
文档复制为VIP权益,开通VIP直接复制
信息提交成功
评论0