深度学习(DL)在会计行业的最新进展和应用

Venkatasubramanian Ganapathy
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引用次数: 0

摘要

近年来,随着深度学习(DL)技术的快速发展,会计行业经历了一场变革性的革命。深度学习是人工智能(AI)的一个子集,已成为财务和会计领域的一个强大工具,为自动化任务、提高准确性和发现有价值的见解提供了前所未有的机会。这项开创性的技术在会计领域有着广泛的应用,从自动化重复数据录入任务到增强欺诈检测、财务预测和风险管理,不一而足。由人工智能神经网络(AI-NN)、循环神经网络(RNN)、卷积神经网络(CNN)等驱动的深度学习正在重塑财务分析、审计、欺诈预防、风险管理等领域的格局。通过这些进步,我们不仅能提高效率,还能以全新的视角看待会计师在日益数据驱动和数字互联的世界中所扮演的角色。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
RECENT ADVANCES AND APPLICATIONS OF DEEP LEARNING (DL) IN THE ACCOUNTING PROFESSION
In recent years, the accounting profession has undergone a transformative revolution with the help of rapid advancement in Deep Learning (DL) technologies. Deep Learning, a subset of Artificial Intelligence (AI) has emerged as a powerful tool in the world of finance and accounting, offering unprecedented opportunities for automating tasks, improving accuracy and uncovering valuable insights. This groundbreaking technology has found a multitude of applications in accounting, ranging from automating repetitive data entry tasks to enhancing fraud detection, financial forecasting and risk management. Deep Learning driven by Artificial Intelligence Neural Networks (AI-NN), Recurrent Neural Networks (RNN), Convolutional Neural Networks (CNN) and more is reshaping the landscape of financial analysis, auditing, prevention of frauds, risk management and much more. Through these advancements, we gain not only efficiency but also a new perspective on the role of accountants in an increasingly data-driven and digitally interconnected world.
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