Gartner Research

Clarify Strategy and Tactics for Artificial Intelligence by Separating Training and Machine Learning

Published: 14 March 2018

ID: G00351650

Analyst(s): Magnus Revang , Anthony Mullen , Erick Brethenoux


Enterprises conflate AI training and learning. By putting both in the hands of vendors, they create dangerous lock-in. By delineating training and learning, data and analytics leaders can shape training capabilities as a strategy to train commodity AI platforms and tools that learn.

Table Of Contents


  • Moving Beyond Tactical Siloed Deployments for AI Is a Major Challenge
  • Pockets of Intelligence Rather Than Collective Intelligence
  • Organizations Block Their Ability to Train Through Poor Mining and Exploitation of Data
  • View AI Efforts Through Two Lenses — Training and Learning
    • Platform-Independent Training and Test Data Curation Is Within Reach for Most Enterprises
  • Conclusion
    • Implement the Concept by Developing AI Data Skills and Using Middleware to Connect Training to Learning
    • Training Is a Process Involving Both Technology and People
    • A New Breed of a Problem-Solving Team — From Data Science to Cognitive Science

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