Gartner Research

Hype Cycle for Artificial Intelligence, 2017

Published: 24 July 2017

ID: G00314732

Analyst(s): Tom Austin, Kenneth Brant

Summary

A "virtuous cycle" for a new generation of artificial intelligence builds along several critical market dimensions. The risk of ignoring potentially transformational AI exceeds the mitigated risk of fast, early failure.

Table Of Contents

Analysis

  • What You Need to Know
  • The Hype Cycle
  • The Priority Matrix
  • Off the Hype Cycle
  • On the Rise
    • Human-in-the-Loop Crowdsourcing
    • AI-Related C&SI Services
    • Artificial General Intelligence
    • Algorithm Marketplaces
    • Artificial Intelligence for IT Operations (AIOps) Platforms
    • Deep Reinforcement Learning
    • Neuromorphic Hardware
    • Natural-Language Generation
    • Bots
    • Conversational User Interfaces
    • Digital Ethics
  • At the Peak
    • Deep Neural Network ASICs
    • Level 3 Vehicle Autonomy
    • Smart Robots
    • Graph Analytics
    • Prescriptive Analytics
    • Virtual Assistants
    • Deep Learning
    • Machine Learning
    • NLP
    • Autonomous Vehicles
    • Intelligent Apps
    • Cognitive Computing
    • Computer Vision
    • Level 4 Vehicle Autonomy
    • Commercial UAVs (Drones)
    • Predictive Analytics
  • Sliding Into the Trough
    • FPGA Accelerator
    • Cognitive Expert Advisors
    • Learning BPO
    • Consumer Smart Appliances
    • Virtual Customer Assistants
    • Augmented Reality
    • Knowledge Management Tools
  • Climbing the Slope
    • GPU Accelerator
    • Virtual Reality
    • Ensemble Learning
  • Entering the Plateau
    • Speech Recognition
  • Appendixes
    • Hype Cycle Phases, Benefit Ratings and Maturity Levels

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