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Artificial Intelligence Maturity Model: a Systematic Literature Review by Raghad Baker Sadiq; Nurhizam Safie; Abdul Hadi Abd Rahman; Shidrokh Goudarzi is a Computer Science article available to read on EtoBox.

What is Artificial Intelligence Maturity Model: a Systematic Literature Review about?

Organizations in various industries have widely developed the artificial intelligence (AI) maturity model as a systematic approach. This study aims to review state-of-the-art studies related to AI maturity models systematically. It allows a deeper understanding of the methodological issues relevant to maturity models, especially in terms of the objectives, methods employed to develop and validate the models, and the scope and characteristics of maturity model development. Our analysis reveals that most works concentrate on developing maturity models with or without their empirical validation. It shows that the most significant proportion of models were designed for specific domains and purposes. Maturity model development typically uses a bottom-up design approach, and most of the models have a descriptive characteristic. Besides that, maturity grid and continuous representation with five levels are currently trending in maturity model development. Six out of 13 studies (46%) on AI maturity pertain to assess the technology aspect, even in specific domains. It confirms that organizations still require an improvement in their AI capability and in strengthening AI maturity. This revie

Who reads Artificial Intelligence Maturity Model: a Systematic Literature Review?

Author

Raghad Baker Sadiq; Nurhizam Safie; Abdul Hadi Abd Rahman; Shidrokh Goudarzi

Publisher

PeerJ

Published

2021

Language

EN

Field

Computer Science (Physical Sciences)