Hype Cycle for Smart Machines, 2016

Archived Published: 21 July 2016 ID: G00290496

Analyst(s): |

Purchase this Document

Price: $1,995.00 USD (PAGES: 58)

To purchase this document, you will need to register or sign in above.


Smart machines are truly disruptive technologies — but not ready for the majority of adopters at scale. Still, CIOs and CTOs should explore them now as the competitive gaps and missed opportunity costs for laggards could be insurmountable.

Table of Contents

  • Analysis
    • What You Need to Know
    • The Hype Cycle
    • The Priority Matrix
    • Off the Hype Cycle
    • On the Rise
      • Bots
      • General-Purpose Machine Intelligence
      • Situationally Adaptive Behavior
      • Algorithm Marketplaces
      • Neuromorphic Hardware
      • Deep Reinforcement Learning
      • Digital Ethics
      • Conversational User Interfaces
      • Natural-Language Generation
      • Virtual Personal Assistants
      • Cognitive Computing
      • Commercial UAVs (Drones)
      • Graph Analytics
      • Proactive Search
    • At the Peak
      • Smart Apps
      • Smart Robots
      • Prescriptive Analytics
      • Natural-Language Processing
      • Cognitive Expert Advisors
      • Deep Neural Nets
      • Machine Learning
      • Autonomous Vehicles
      • Computer Vision
      • Predictive Analytics
    • Sliding Into the Trough
      • Learning BPO
      • Consumer Smart Appliances
      • Virtual Customer Assistants
      • Augmented Reality
      • Knowledge Management Tools
    • Climbing the Slope
      • Virtual Reality
      • Ensemble Learning
    • Entering the Plateau
      • Speech Recognition
    • Appendixes
      • Hype Cycle Phases, Benefit Ratings and Maturity Levels
  • Gartner Recommended Reading
© 2016 Gartner, Inc. and/or its Affiliates. All Rights Reserved. Reproduction and distribution of this publication in any form without prior written permission is forbidden. The information contained herein has been obtained from sources believed to be reliable. Gartner disclaims all warranties as to the accuracy, completeness or adequacy of such information. Although Gartners research may discuss legal issues related to the information technology business, Gartner does not provide legal advice or services and its research should not be construed or used as such. Gartner shall have no liability for errors, omissions or inadequacies in the information contained herein or for interpretations thereof. The opinions expressed herein are subject to change without notice.

Why Gartner

Gartner delivers the technology-related insight you need to make the right decisions, every day.

Find out more

Call +1 855-515-4486 or contact us

to become a Gartner client.