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All Journal PROCEEDING IC-ITECHS 2014
Hao Zhang
Hebei United University
Computer Science & IT Education

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Research on Financial Investment Risk in Enterprise Financial Management Yan, Jiyao; Zhang, Hao
IC-ITECHS Vol 5 No 1 (2024): IC-ITECHS
Publisher : LPPM STIKI Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/ic-itechs.v5i1.1562

Abstract

This paper focuses on the financial investment risk in the financial management of enterprises, analyzes its causes, types and potential threats to the financial security of enterprises. It is pointed out that the main causes of financial investment risk are the lack of perfect risk management system, the insufficient ability of financial managers and the change of external environment. To deal with these risks, this paper puts forward a series of strategies, including building a comprehensive financial risk investment system, improving the professional quality of financial management team, balancing returns and risks, and strengthening internal control. The effectiveness of the proposed strategy is verified by case analysis. The research results of this paper not only enrich the theoretical system of financial investment risk management, but also provide practical guidance for enterprises, which is helpful to improve the level of financial security of enterprises and ensure steady development.
Generalization of Data Science in Financial Management Wu, Yuxia; Zhang, Hao
IC-ITECHS Vol 5 No 1 (2024): IC-ITECHS
Publisher : LPPM STIKI Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/ic-itechs.v5i1.1564

Abstract

With the rapid development of information technology, data science has been increasingly applied in various fields, and financial management is no exception. As a comprehensive discipline, data science brings new opportunities and challenges to financial management through its powerful data processing and analyzing capabilities. The purpose of this paper is to explore the ubiquity of data science in financial management, and to analyze its impact on financial management and future development trends.
Research on the Development of Intelligent Financial Education in the Era of Artificial Intelligence Liang, Tingting; Zhang, Hao
IC-ITECHS Vol 5 No 1 (2024): IC-ITECHS
Publisher : LPPM STIKI Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/ic-itechs.v5i1.1641

Abstract

With the continuous progress of the digital era, artificial intelligence is increasingly interwoven with various fields. This paper focuses on the current status of financial management courses, applies the SWOT analysis method to analyze the current situation of the development of financial education, proposes the problems existing in current courses, discusses the limitations of traditional teaching, explores the application of AI technology in financial management education, improves and refines course design, breaks the limitations of traditional teaching methods, emphasizes the integration of theory and practice, enhances students' professional competence, cultivates financial management thinking, and builds an intelligent teaching platform. On this basis, it discusses the specific applications of AI in three parts: designing basic courses, cultivating professional competence and thinking, and building a teaching platform. The aim is to innovate financial management education, promote its sustainable and innovative development, and cultivate high-quality talents who can meet the needs of the future financial industry.
Co-Authors Liang, Tingting Wu, Yuxia Yan, Jiyao