Gartner Research

Hype Cycle for Artificial Intelligence, 2019

Published: 25 July 2019

ID: G00369840

Analyst(s): Kenneth Brant , Jim Hare , Svetlana Sicular

Summary

Enterprises are making huge progress with AI as it grows more widespread, but also many mistakes. By examining innovations and trends, this report will help you set the scope of an AI plan, and assess AI’s value and risks. You will then be more able to overcome obstacles to adoption and to succeed.

Table Of Contents

Analysis

  • What You Need to Know
  • The Hype Cycle
  • The Priority Matrix
  • Off the Hype Cycle
  • On the Rise
    • Artificial General Intelligence
    • AI Marketplaces
    • Reinforcement Learning
    • AI Governance
    • Augmented Intelligence
    • Neuromorphic Hardware
    • Decision Intelligence
    • AI Cloud Services
    • Data Labeling and Annotation Services
    • Knowledge Graphs
    • AI-Related C&SI Services
    • AI Developer Toolkits
    • Explainable AI
  • At the Peak
    • Edge AI
    • Smart Robots
    • Deep Neural Network ASICs
    • AI PaaS
    • Quantum Computing
    • Intelligent Applications
    • Digital Ethics
    • AutoML
    • Chatbots
    • Conversational User Interfaces
    • Deep Neural Networks (Deep Learning)
    • Graph Analytics
    • Machine Learning
    • NLP
  • Sliding Into the Trough
    • VPA-Enabled Wireless Speakers
    • Robotic Process Automation Software
    • FPGA Accelerators
    • Virtual Assistants
    • Computer Vision
    • Insight Engines
    • Cognitive Computing
    • Autonomous Vehicles
  • Entering the Plateau
    • Speech Recognition
    • GPU Accelerators
  • Appendixes
    • Hype Cycle Phases, Benefit Ratings and Maturity Levels

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