Artificial Intelligence and the Way of Changing Decision-Making for Business

Daniel Paschek, Caius Tudor Luminosu, Anca Draghici and Adrian Mateescu
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Daniel Paschek: Politehnica University Timisoara, Romania
Caius Tudor Luminosu: Politehnica University Timisoara, Romania
Anca Draghici: Politehnica University Timisoara, Romania
Adrian Mateescu: Politehnica University Timisoara, Romania

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Abstract: While medium and small enterprises still employ people for forecasting sales, expected revenue and further business key performance indicators (KPI), the big and high-tech companies use Artificial Intelligence (AI) to predict these indicators automatically. Thereby not only the automation of the AI system will be an advantage, even more the validity, relevance, frequency, wide data basis and 24/7 runtime are positive factors. The purpose of this research is to analyze and evaluate the human and AI decision-making systems for several enterprises within the context of Industry 4.0. To evaluate the benefit of decisions taken by humans and AI, a comparison and rate assessment is presented for the quality and opportunity aspects description. The aim of the research is to evaluate when companies should use traditional or AI decision-making processes. Research results are focused on business impact, in terms of success, in the context Digitalization and the faster changing world. Finally, clear recommendation combining human and AI decisions approaches are proposed.

Keywords: Artificial Intelligence; Decision-Making Systems; Management; Automation; Digitalization; Knowledge Management; Business-Prediction; Industry 4.0 (search for similar items in EconPapers)
Date: 2018
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