Proceedings of the 2023 2nd International Conference on Artificial Intelligence, Internet and Digital Economy (ICAID 2023)

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Research and Analysis of Data Modeling in Financial Management Based on the Context of Artificial Intelligence Technology

Authors
Chuanan Su1, *
1Zhonghuan Proprietary Company, Beijing, China
*Corresponding author. Email: sudashuai1221@163.com
Corresponding Author
Chuanan Su
Available Online 28 August 2023.
DOI
10.2991/978-94-6463-222-4_28How to use a DOI?
Keywords
Artificial intelligence; Financial management; Data modeling; Analysis of financial dynamics
Abstract

By building a supply chain finance platform based on the Internet, informatizing and networking the financial chain business and realizing network-based supply chain business management with the help of information technology, it can greatly promote the efficiency of supply chain-related business management. In addition, the Internet-based supply chain platform also helps different enterprises in different regions to interact with information, which greatly reduces the management cost and difficulty of cross-regional management. From a macro perspective, the establishment of a supply chain finance platform helps integrate and allocate resources, and has a positive impact on improving economic and social benefits. With the support of the supply chain finance platform, the credit behavior of marketing companies in the supply chain is effectively curbed, which plays an important role in improving the capital turnover rate and reducing the business risks of enterprises. After the capital turnover is guaranteed, enterprises can invest more energy in product development and sales channel expansion, which is of great significance to improve their market competitiveness and economic benefits. This paper studies and analyzes the big data model of financial management based on the big data foundation of the Internet platform.

Copyright
© 2023 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 2023 2nd International Conference on Artificial Intelligence, Internet and Digital Economy (ICAID 2023)
Series
Atlantis Highlights in Intelligent Systems
Publication Date
28 August 2023
ISBN
10.2991/978-94-6463-222-4_28
ISSN
2589-4919
DOI
10.2991/978-94-6463-222-4_28How to use a DOI?
Copyright
© 2023 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  - Chuanan Su
PY  - 2023
DA  - 2023/08/28
TI  - Research and Analysis of Data Modeling in Financial Management Based on the Context of Artificial Intelligence Technology
BT  - Proceedings of the 2023 2nd International Conference on Artificial Intelligence, Internet and Digital Economy (ICAID 2023)
PB  - Atlantis Press
SP  - 277
EP  - 282
SN  - 2589-4919
UR  - https://doi.org/10.2991/978-94-6463-222-4_28
DO  - 10.2991/978-94-6463-222-4_28
ID  - Su2023
ER  -