The Integration and Application of Artificial Intelligence Technology in the Construction of Digital Skills in Management Accounting
Abstract
In order to combine artificial intelligence technology with management accounting work, this paper will try to adopt the way of
literature review to elaborate 2 kinds of fusion direction, and according to the fusion direction, propose 3 kinds of accounting management
system based on artificial intelligence technology. Through the study, it is known that through the intelligent financial management system, the financial information entry can be made intelligent, reduce the manual entry errors and improve the entry efficiency; through the
financial decision support system, all kinds of financial information can be mined in-depth to provide a basis for the decision-making of
the decision-making level; and through the intelligent auditing system, the problems in the financial management can be analyzed and the
solution measures can be given. According to the results, it can be concluded that all the above technologies have certain promotion and
application value.
literature review to elaborate 2 kinds of fusion direction, and according to the fusion direction, propose 3 kinds of accounting management
system based on artificial intelligence technology. Through the study, it is known that through the intelligent financial management system, the financial information entry can be made intelligent, reduce the manual entry errors and improve the entry efficiency; through the
financial decision support system, all kinds of financial information can be mined in-depth to provide a basis for the decision-making of
the decision-making level; and through the intelligent auditing system, the problems in the financial management can be analyzed and the
solution measures can be given. According to the results, it can be concluded that all the above technologies have certain promotion and
application value.
Keywords
Digitalization; Artificial intelligence; Skill building
Full Text:
PDFReferences
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DOI: http://dx.doi.org/10.70711/aitr.v2i8.6637
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