Hype Cycle for Smart Machines, 2016


Archived Published: 21 July 2016 ID: G00290496

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Summary

Smart machines are truly disruptive technologies โ€” 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
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