深度学习(DL)在会计行业的最新进展和应用

Venkatasubramanian Ganapathy
{"title":"深度学习(DL)在会计行业的最新进展和应用","authors":"Venkatasubramanian Ganapathy","doi":"10.59231/edumania/9020","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":479772,"journal":{"name":"Edumania-An International Multidisciplinary Journal","volume":"82 6","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"RECENT ADVANCES AND APPLICATIONS OF DEEP LEARNING (DL) IN THE ACCOUNTING PROFESSION\",\"authors\":\"Venkatasubramanian Ganapathy\",\"doi\":\"10.59231/edumania/9020\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"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.\",\"PeriodicalId\":479772,\"journal\":{\"name\":\"Edumania-An International Multidisciplinary Journal\",\"volume\":\"82 6\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Edumania-An International Multidisciplinary Journal\",\"FirstCategoryId\":\"0\",\"ListUrlMain\":\"https://doi.org/10.59231/edumania/9020\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Edumania-An International Multidisciplinary Journal","FirstCategoryId":"0","ListUrlMain":"https://doi.org/10.59231/edumania/9020","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
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.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
A Study on Corporate Social Responsibility of Selected Public and Private Sector Banks in India Power Of Social Media on Academic Achievement of Business Education Students in Universities in Anambra State, Nigeria Use of Social Media Platforms for Citizen Journalism on Security Challenges in Nigeria among The Polytechnic Ibadan Students Professional Development and Leadership Remediation of Chemical Bonding Misconception through Conceptual Change Text
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1