Gartner Research

Maverick* Research: The Industrialization of Nonroutine Work

Published: 03 October 2014

ID: G00269026

Analyst(s): Nikos Drakos

Summary

As work becomes more observable, machine learning will boost CIOs' ability to manage predictably nonroutine work that today relies on experience, creativity and social skills. (Maverick research deliberately exposes unconventional thinking and may not agree with Gartner's official positions.)

Table Of Contents
  • Key Challenges

Analysis

  • *Maverick Research
  • The Conventional Limits of Industrialization
  • Machine Learning Meets the Workplace: Extending the Scope of Industrialization
    • Machine-Learning Techniques Are Available and Mature Enough to Operate at Scale With "Dirty," Unstructured Data From Multiple Sources
    • Data That Relates to the Execution and Context of Nonroutine Work Is Increasingly Observable, and Is Available for Machine-Learning Analysis
  • The Future Is Already Here
    • Machine Learning Meets Human Resources: Recruitment, Performance Management, Incentives Programs and Training
    • Machine Learning Meets Operations: Fault Diagnosis, Risk Assessment and Performance Optimization
    • Machine Learning Meets IT Operations: Capacity Planning, Performance Optimization and Process Design
    • Machine Learning Meets Sales and Marketing: Pipeline Optimization, Offer Construction and Campaign Planning
  • Every Business Decision Is an Experiment
    • What Could Possibly Go Wrong?
  • Next Steps

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