【免费】AFrameworkforApplyingAIintheEnterprise

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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.

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 articial 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 signicant opportunity, including where enterprises use deep learning

(deep neural networks) and allied areas of NLP applications, to mine data quickly and efciently

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

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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

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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 articial 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