Gartner Research

Hype Cycle for Artificial Intelligence, 2020

Published: 27 July 2020

ID: G00448060

Analyst(s): Svetlana Sicular, Shubhangi Vashisth

Summary

Enterprises are making tangible progress with AI initiatives, but also many mistakes. As AI grows more widespread and new solutions emerge, organizations are realizing AI’s increased value, but also facing new challenges. This report will help you assess AI-specific maturity and adoption.

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
    • Small Data
    • Composite AI
    • Generative AI
    • AI Marketplaces
    • Responsible AI
    • Things as Customers
    • Neuromorphic Hardware
    • Augmented Intelligence
    • AI Governance
  • At the Peak
    • AI Developer and Teaching Kits
    • Decision Intelligence
    • Smart Robots
    • Data Labeling and Annotation Services
    • Deep Neural Network ASICs
    • Intelligent Applications
    • Knowledge Graphs
    • Digital Ethics
    • Edge AI
    • AI Cloud Services
    • Deep Neural Networks (Deep Learning)
    • Natural Language Processing (NLP)
  • Sliding Into the Trough
    • Machine Learning
    • FPGA Accelerators
    • Chatbots
    • Computer Vision
    • Autonomous Vehicles
    • Cognitive Computing
  • Climbing the Slope
    • Insight Engines
  • Entering the Plateau
    • GPU Accelerators
  • Appendixes
    • Hype Cycle Phases, Benefit Ratings and Maturity Levels

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