By investigating major trends in the literature on artificial intelligence, this article provides an up-to-date, structured overview of AI applications in the business context. In particular, it explores the most influential factors in AI implementation, divided into five main areas: drivers for adoption, skills needed for implementation, risks and challenges, key business processes where AI is applied, and outcomes resulting from its use. The article concludes with practical takeaways to translate this analysis into concrete actions, helping to map the elements that influence AI adoption and set measurable goals to optimize organizational processes and monitor the effectiveness of the overall business strategy.

FROM THEORY TO PRACTICE: CRITICAL FACTORS IN AI IMPLEMENTATION

Andrea Ciacci
2024-01-01

Abstract

By investigating major trends in the literature on artificial intelligence, this article provides an up-to-date, structured overview of AI applications in the business context. In particular, it explores the most influential factors in AI implementation, divided into five main areas: drivers for adoption, skills needed for implementation, risks and challenges, key business processes where AI is applied, and outcomes resulting from its use. The article concludes with practical takeaways to translate this analysis into concrete actions, helping to map the elements that influence AI adoption and set measurable goals to optimize organizational processes and monitor the effectiveness of the overall business strategy.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11567/1231436
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