Critical Success Factors for Artificial Intelligence Projects

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.