Research on Optimization Strategies for Business Information Systems Based on Artificial Intelligence

Danyang Liu ()
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Danyang Liu: The Hong Kong Polytechnic University

A chapter in Proceedings of the 2025 10th International Conference on Financial Innovation and Economic Development (ICFIED 2025), 2025, pp 172-180 from Springer

Abstract: Abstract With the rapid development of artificial intelligence (AI) technology, business information systems (BIS) have become increasingly important in enterprise management. This paper explores the application of AI in BIS and, through an analysis of optimization strategies, proposes methods for using AI to enhance system efficiency, reduce operational costs, and improve decision support quality. The article also provides analytical data to support the proposed optimization strategies. By conducting a more indepth analysis, this paper aims to help enterprises better understand the advantages and challenges of AI technology in practical applications and provide a reference for future practices. The core of this research is to explore how to achieve efficient, intelligent, and innovative management through systematic optimization strategies in the context of digital transformation.

Keywords: Artificial Intelligence (AI); Business Information Systems (BIS); Optimization Strategies; Digital Transformation (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:spr:advbcp:978-94-6463-702-1_18

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DOI: 10.2991/978-94-6463-702-1_18

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