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.

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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Gartner Research

Hype Cycle for Artificial Intelligence, 2017

Summary

Table Of Contents

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