Critical Success Factors for Artificial Intelligence Projects

Research output: Unpublished contribution to conferenceUnpublished Conference Paperpeer-review


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.
Original languageEnglish
Publication statusPublished - 30 Jun 2020
EventEurOMA Conference 2020: Managing Operations for Impact - University of Warwick, Warwick, United Kingdom
Duration: 29 Jun 202030 Jun 2020
Conference number: 27


ConferenceEurOMA Conference 2020
Abbreviated titleEurOMA Conference 2020
Country/TerritoryUnited Kingdom
Internet address

Bibliographical note

© 2020 The Author


Dive into the research topics of 'Critical Success Factors for Artificial Intelligence Projects'. Together they form a unique fingerprint.

Cite this