Gartner Research

Hype Cycle for Data Science and Machine Learning, 2017

Published: 28 July 2017

Summary

The hype around data science and machine learning has increased from already high levels in the past year. Data and analytics leaders should use this Hype Cycle to understand technologies generating excitement and inflated expectations, as well as significant movements in adoption and maturity.

Included In Full Research

  • What You Need to Know
  • The Hype Cycle
    • New Entrants
    • Name Changes
  • The Priority Matrix
  • Off the Hype Cycle
  • On the Rise
    • Human-in-the-Loop Crowdsourcing
    • Artificial General Intelligence
    • Conversational Analytics
    • Algorithm Marketplaces
    • Guided Analytics
    • Notebooks
    • AutoML
    • Embedded Analytics
    • IoT Edge Analytics
    • Advanced Anomaly Detection
    • Citizen Data Science
  • At the Peak
    • Augmented Data Discovery
    • Graph Analytics
    • Optimization
    • Prescriptive Analytics
    • Deep Learning
    • Machine Learning
    • Self-Service Data Preparation
    • Event Stream Processing
    • Cognitive Computing
    • Python
    • Data Lakes
    • Predictive Analytics
  • Sliding Into the Trough
    • Spark
    • Speech Analytics
    • Model Management
  • Climbing the Slope
    • Text Analytics
    • Video/Image Analytics
    • Ensemble Learning
    • Simulation
  • Appendixes
  • Hype Cycle Phases, Benefit Ratings and Maturity Levels

Analyst(s): Peter Krensky Jim Hare

Access Research

Already a Gartner client?

To view this research and much more, become a client.

Speak with a Gartner specialist to learn how you can access peer and practitioner research, backed by proprietary data, insights, advice and tools to help you achieve stronger performance.

By clicking the "Continue" button, you are agreeing to the Gartner Terms of Use and Privacy Policy.

Gartner research: Trusted insight for executives and their teams

What is Gartner research?

Gartner research, which includes in-depth proprietary studies, peer and industry best practices, trend analysis and quantitative modeling, enables us to offer innovative approaches that can help you drive stronger, more sustainable business performance.

Gartner research is unique, thanks to:

Independence and objectivity

Our independence as a research firm enables our experts to provide unbiased advice you can trust.

Actionable insights

Not only is Gartner research unbiased, it also contains key take-aways and recommendations for impactful next steps.

Proprietary methodologies

Our research practices and procedures distill large volumes of data into clear, precise recommendations.

Gartner research is just one of our many offerings.

We provide actionable, objective insight to help organizations make smarter, faster decisions to stay ahead of disruption and accelerate growth.

Tap into our experts

We offer one-on-one guidance tailored to your most critical priorities.

Pick the right tools and providers

We work with you to select the best-fit providers and tools, so you avoid the costly repercussions of a poor decision.

Create a network

Connect directly with peers to discuss common issues and initiatives and accelerate, validate and solidify your strategy.

Experience Data and Analytics conferences

Join your peers for the unveiling of the latest insights at Gartner conferences.

©2022 Gartner, Inc. and/or its affiliates. All rights reserved. Gartner is a registered trademark of Gartner, Inc. and its affiliates. This publication may not be reproduced or distributed in any form without Gartner’s prior written permission. It consists of the opinions of Gartner’s research organization, which should not be construed as statements of fact. While the information contained in this publication has been obtained from sources believed to be reliable, Gartner disclaims all warranties as to the accuracy, completeness or adequacy of such information. Although Gartner research may address legal and financial issues, Gartner does not provide legal or investment advice and its research should not be construed or used as such. Your access and use of this publication are governed by Gartner’s Usage Policy. Gartner prides itself on its reputation for independence and objectivity. Its research is produced independently by its research organization without input or influence from any third party. For further information, see Guiding Principles on Independence and Objectivity.