A Novel Management Decision Method with Artificial Intelligence Algorithm

Zikang Zhang ()
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Zikang Zhang: University of California-Berkeley, College of Letter and Science

A chapter in Proceedings of the 2024 2nd International Conference on Management Innovation and Economy Development (MIED 2024), 2024, pp 70-75 from Springer

Abstract: Abstract In contemporary management practices, decision-making processes are critically influenced by the efficiency and accuracy of the underlying methodologies. Traditional decision-making approaches are often challenged by the complexity and scale of data involved, leading to delays and potential inaccuracies. Artificial Intelligence (AI), particularly through large-scale model training, offers a promising alternative by enabling more rapid and precise decision-making frameworks. However, the adoption of AI in management decisions is not without its limitations, including issues related to data privacy, model transparency, and integration with existing systems. In this research, we will introduce an innovative approach utilizing large AI models to enhance management decision-making processes. By leveraging advanced algorithms and substantial data training sets, our methodology not only addresses the shortcomings of traditional systems but also capitalizes on the speed and scalability of modern AI technologies. The implementation of our approach in several enterprise environments demonstrates significant improvements in decision-making efficiency and organizational performance. The findings suggest that large-scale AI models can be effectively integrated into management frameworks, providing a robust tool for enhancing decision accuracy and operational efficiency. These results are indicative of the substantial benefits that such technologies can bring to management practices, making them a valuable reference for organizations aiming to improve their decision-making systems. The practical implications of this research underscore the transformative potential of AI in management, advocating for broader adoption and continued innovation in this field.

Keywords: Artificial Intelligence; Financial Technology; Decision-Making; Data Model; Decision Support System (search for similar items in EconPapers)
Date: 2024
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DOI: 10.2991/978-94-6463-542-3_10

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