The Application of Big Data and Artificial Intelligence in Financial Management
Abstract
challenges, especially in data processing and decision support. This paper explores how enterprises gradually apply intelligent financial systems and optimize financial analysis, accounting, and cost control through artificial intelligence. By leveraging intelligent methods, the efficiency and accuracy of financial management are significantly improved, enabling enterprises to achieve more precise financial forecasting
and decision-making. During the deep integration of big data and artificial intelligence, issues such as data security and the skill transformation of financial personnel still need to be addressed. By building intelligent financial systems and improving training mechanisms, enterprises
can effectively tackle these challenges, driving continuous innovation and long-term development.
Keywords
Full Text:
PDFReferences
[1] Kerdvibulvech C. Big data and AI-driven evidence analysis: a global perspective on citation trends, accessibility, and future research in
legal applications[J]. Journal of Big Data, 2024, 11(1):180-180.
[2] Ladeira J W, Santini O D F, Rasul T, et al. Big data analytics and the use of artificial intelligence in the services industry: a metaanalysis[J]. The Service Industries Journal, 2024, 44(15-16):1117-1144.
[3] Arslanta? S. Artificial intelligence and big data from digital health applications: publication trends and analysis.[J]. Journal of health organization and management, 2024.
DOI: http://dx.doi.org/10.70711/memf.v2i5.6087
Refbacks
- There are currently no refbacks.