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<strong>Driving Efficiency and Risk Management in Finance through AI and RPA</strong>

Xiaoan Zhan, Zhipeng Ling, Zeqiu Xu, Lingfeng Guo, Shikai Zhuang

发表年份
2024
引用次数
5
访问权限
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摘要

This article examines the integration of artificial intelligence (AI) and robotic process automation (RPA) in financial accounting and management, underscoring their role in driving the digital transformation of corporate finance. It discusses the shortcomings of traditional financial processes and highlights the potential of AI and RPA technologies to enhance efficiency, accuracy, and cost-effectiveness. The paper also explores the limitations of RPA, such as its challenges in processing unstructured data and handling complex decision-making scenarios. Looking forward, it considers the future trends in AI and RPA, emphasizing the benefits of cloud technology in scaling automated systems and addressing associated challenges.

关键词

AutomationProcess (computing)Computer scienceRisk analysis (engineering)Cloud computingArtificial intelligenceBusinessEngineering

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