A Supply Chain Analytics Leader’s Due Diligence Checklist for AI Projects

Published: 06 November 2018 ID: G00370036


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Organizations pursue early AI projects to gauge their potential in supply chain digital transformation. This research helps supply chain leaders responsible for analytics and AI to conduct a due diligence at the onset of an AI project to increase the likelihood of success.

Table of Contents

  • Introduction
  • Analysis
    • Ask Solution Providers to Explain the “I” in Their AI Solution
    • Realize That Without Enough Representative Data, AI Success Is Impossible
    • Understand Your Team’s Effort and Time Requirements to Support the AI Project
    • Clarify the Fit of AI Solutions Within the Current Technology Footprint
    • Understand Your Solution Providers’ Future Functional and Market Strategy
    • Line Up the Talent to Not Only Build, but Consume AI Solutions
    • Consider Nontraditional ROI Models When Investing in AI Pilots
  • Gartner Recommended Reading
© 2018 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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