Hype Cycle for Advanced Analytics and Data Science, 2015

Archived Published: 06 July 2015 ID: G00277762


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As this year's Hype Cycle clearly indicates, the field of advanced analytics and data science is extremely innovative. Some important infrastructure concepts — including analytic marketplaces — allow the use of advanced analytics to scale much better, but much more development in this area is needed.

Table of Contents

  • Analysis
    • What You Need to Know
    • The Hype Cycle
    • • The Priority Matrix
    • Off the Hype Cycle
    • On the Rise
      • Analytics Marketplaces
      • Chief Analytics Officer
      • Natural Language Generation
      • Model Factory
      • Smart Data Discovery
      • Crowdsourcing of Microwork
      • Hadoop-Based Data Discovery
      • Graph Analysis
      • In-DBMS Analytics
      • Data Lakes
      • Deep Learning
      • PMML
      • Uplift Modeling
      • Citizen Data Science
      • Real-time Analytics
      • Self-Service Data Preparation
      • Optimization
    • At the Peak
      • Emotion Detection/Recognition
      • Prescriptive Analytics
      • Event Stream Processing
      • Geospatial and Location Intelligence
      • Spark
      • Predictive Analytics
      • Machine Learning
    • Sliding Into the Trough
      • Natural-Language Question Answering
      • Model Management
      • Speech Analytics
      • Linked Data
      • R
      • Text Analytics
      • Video Analytics
    • Climbing the Slope
      • Ensemble Learning
      • Simulation
      • Load Forecasting
    • Appendixes
      • Hype Cycle Phases, Benefit Ratings and Maturity Levels
  • Gartner Recommended Reading
© 2015 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.

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