Gartner Research

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.

Table Of Contents


  • What Is AI?
    • An Executive and Strategic Perspective on AI
  • 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
  • Leading AI Application Areas
    • Bots, Chatbots and Virtual Assistants
    • Conversational AI Platforms
    • Analytics and Predictive Analytics Models
    • Smart Objects, Sensors and Environments
  • 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
  • AI in Vertical Industries
    • Automotive
    • Banking, Asset and Wealth Management, Capital Markets
    • Business Process Outsourcing — Customer Management, Finance and Accounting Procurement, and Human Resources
    • Consumer Products With AI
    • Government
    • Healthcare, Life Science and Pharma
    • Education (K-12 and Higher Education)
    • Insurance Services — Property, Casualty and Life
    • Invest/Venture Capital and AI
    • Manufacturing Operations
    • Retail
    • Supply Chain
    • Telecom
    • Topics Specific to Regional AI Usage

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