Critical Success Factors for Artificial Intelligence Projects

Research output: Contribution to conferencePaper

Abstract

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
https://warwick.ac.uk/fac/sci/wmg/mediacentre/wmgevents/euroma2020/

Conference

ConferenceEurOMA Conference 2020
Abbreviated titleEurOMA Conference 2020
CountryUnited Kingdom
CityWarwick
Period29/06/2030/06/20
Internet address

Bibliographical note

© 2020 The Author

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    Uren, V. (2020). Critical Success Factors for Artificial Intelligence Projects. Paper presented at EurOMA Conference 2020, Warwick, United Kingdom.