Application of artificial intelligence and Big Data in financial Management.

As artificial intelligence and big data technologies are rapidly changing the face of financial management. This paper delves into the application of artificial intelligence (AI) and big data technologies in modern financial management, revealing how these two technologies can reshape the financial...

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Detalles Bibliográficos
Publicado en:SHS Web of Conferences Vol. 208; pp. 1 - 14
Autor principal: Yang, Jinyi
Formato: Artículo
Publicado: EDP Sciences 12/12/2024
Acceso en línea:Ver este registro en EBSCOhost
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      dt: 12/12/2024
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        10.1051/shsconf/202420801006
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        atl: Application of artificial intelligence and Big Data in financial Management.
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        au: Yang, Jinyi
        affil: Chengdu Foreign languages school, Chengdu, 610000, China
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      ab: As artificial intelligence and big data technologies are rapidly changing the face of financial management. This paper delves into the application of artificial intelligence (AI) and big data technologies in modern financial management, revealing how these two technologies can reshape the financial management process, improve management efficiency and decision-making quality, and create greater economic value for enterprises. The core of the study focuses on the specific applications of AI and big data in financial data processing, risk identification and assessment, predictive analytics, and intelligent decision support, as well as how these applications can contribute to the intelligence, precision, and efficiency of financial management.The significance of this study lies in the fact that it provides new ideas and methods for enterprise financial management practices and promotes the intelligent transformation of financial management. By deeply analysing the application cases and effects of AI and big data in financial management, this paper provides valuable references and lessons on how enterprises can effectively use these technologies to improve their financial management.
      pubtype: Conference Proceedings
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    language: English
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