Gartner Research

Machine Learning 101 for Supply Chain Leaders Part 2: Talent, Organization and Technology Requirements

Published: 02 February 2018

ID: G00349011

Analyst(s): Noha Tohamy

Summary

Successful adoption of machine learning hinges on available talent, technology and organizational enablers. This research provides supply chain leaders responsible for machine learning and artificial intelligence with clarity on the requisite skills, organization structure and technology approaches.

Table Of Contents
  • Key Challenges

Introduction

Analysis

  • Assess Requisite Staffing and Organization Structure
    • How Do We Get Started With ML Without Hiring Additional Staff?
    • How Do We Staff for ML?
    • What Is the Best Organizational Model to Support ML?
  • Make an Informed Technology Selection, and Understand the Pitfalls
    • How Do We Verify Vendors' Claims of Offering ML Capabilities?
    • Should We Build, Buy or Partner for Our ML Solutions?
  • Continue to Educate Yourself on ML Advances and Examples
    • What Newsletters Are There to Stay Up to Date?
    • What Are the Major Conferences and Summits?
    • How Can I Learn More About ML?

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