Critical Success Factors for Artificial Intelligence Projects


Artificial intelligence (AI) is being adopted in a wide range of operational settings, but many organizations are still at an early stage of adoption. This work concerns critical success factors of AI projects, and is based on interviews with professionals who have been involved in delivering them. Technology Readiness Levels were used as a surrogate for context. CSFs identified by the study include: address real, carefully scoped business problems, match the AI technology to the problem, build understanding of AI beyond the development team, invest to generate high quality data, develop data capabilities, and embed AI expertise in the organization.

Divisions: College of Business and Social Sciences > Aston Business School > Operations & Information Management
Additional Information: © 2020 The Author
Event Title: EurOMA Conference 2020
Event Type: Other
Event Location: University of Warwick
Event Dates: 2020-06-29 - 2020-06-30
Last Modified: 05 Feb 2024 09:21
Date Deposited: 02 Jul 2020 14:04
PURE Output Type: Paper
Published Date: 2020-06-30
Authors: Uren, Victoria (ORCID Profile 0000-0002-1303-5574)



Version: Accepted Version

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