大数据与人工智能对高校财务工作影响分析及策略研讨
Analysis of the impact of big data and artificial intelligence on university financial work and strategy discussion
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作者: 李晓励:山东农业大学信息科学与工程学院,山东 泰安
关键词: 大数据人工智能高校财务工作big data; artificial intelligence; college financial work
摘要: 当前我国高等教育规模不断扩大,2020 年高考报名人数已经突破1000 万,在校规模也已达到4000 万人的水平。大数据时代的到来,对高校财务工作方式和工作职能带来了巨大变化。由于财务工作中带有大量的 重复性或基于原则的工作内容,因此人工智能也为改善高校财务工作质量带来了便利。高校可借助大数据和人工 智能在防范财务风险、加强资金的有效管理和使用等多方面进行优化,从而进一步完善财务管理系统,提升高校 综合实力。
Abstract: Currently, the scale of my country's higher education continues to expand. In 2020, the number of college entrance examination applicants has exceeded 10 million, and the school scale has reached 40 million. The advent of the era of big data has brought tremendous changes to the financial work methods and functions of colleges and universities. Due to the large amount of repetitive or principle-based work content in financial work, artificial intelligence has also brought convenience to improve the quality of college financial work. Universities can use big data and artificial intelligence to optimize the prevention of financial risks, strengthen the effective management and use of funds, and so on, so as to further improve the financial management system and enhance the comprehensive strength of universities.
文章引用:李晓励. 大数据与人工智能对高校财务工作影响分析及策略研讨[J]. 电脑校园, 2020, 1(8): 45-48.

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