Proceedings of the 2025 10th International Conference on Financial Innovation and Economic Development (ICFIED 2025)

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

Authors
Danyang Liu1, *
1The Hong Kong Polytechnic University, Hong Kong, China
*Corresponding author. Email: 3800679351@qq.com
Corresponding Author
Danyang Liu
Available Online 5 May 2025.
DOI
10.2991/978-94-6463-702-1_18How to use a DOI?
Keywords
Artificial Intelligence (AI); Business Information Systems (BIS); Optimization Strategies; Digital Transformation
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.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2025 10th International Conference on Financial Innovation and Economic Development (ICFIED 2025)
Series
Advances in Economics, Business and Management Research
Publication Date
5 May 2025
ISBN
978-94-6463-702-1
ISSN
2352-5428
DOI
10.2991/978-94-6463-702-1_18How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Danyang Liu
PY  - 2025
DA  - 2025/05/05
TI  - Research on Optimization Strategies for Business Information Systems Based on Artificial Intelligence
BT  - Proceedings of the 2025 10th International Conference on Financial Innovation and Economic Development (ICFIED 2025)
PB  - Atlantis Press
SP  - 172
EP  - 180
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-702-1_18
DO  - 10.2991/978-94-6463-702-1_18
ID  - Liu2025
ER  -