{"id":5865,"date":"2024-01-04T18:04:18","date_gmt":"2024-01-04T18:04:18","guid":{"rendered":"https:\/\/icertpublication.com\/?page_id=5865"},"modified":"2026-03-10T07:52:41","modified_gmt":"2026-03-10T02:22:41","slug":"recent-advances-and-applications-of-deep-learning-dl-in-the-accounting-profession","status":"publish","type":"page","link":"https:\/\/icert.org.in\/index.php\/edu-mania\/edumania-vol-2-issue-1\/recent-advances-and-applications-of-deep-learning-dl-in-the-accounting-profession\/","title":{"rendered":"Recent Advances And Applications Of Deep Learning (DL) In The Accounting Profession"},"content":{"rendered":"\t\t
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Edumania-An International Multidisciplinary Journal<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Vol-02, Issue-01 (Jan-Mar 2024)<\/h4>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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An International scholarly\/ academic journal, peer-reviewed\/ refereed journal, ISSN : 2960-0006<\/h5>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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RECENT ADVANCES AND APPLICATIONS OF DEEP LEARNING (DL) IN THE ACCOUNTING PROFESSION<\/span><\/p>

Ganapathy, Venkatasubramanian<\/span><\/p>

Faculty in Auditing Department, Southern India Regional Council of the Institute of Chartered Accountants of India (SIRC of ICAI), Chennai, Tamil Nadu, Bharat<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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DOI:\u00a0<\/span>https:\/\/doi.org\/10.59231\/edumania\/9020<\/span><\/a><\/p>

Page Number:\u00a0pp. 77-104<\/span><\/p>

Subject:\u00a0Deep Learning, Artificial Intelligence in Accounting, Accounting Technology, Financial Automation, Machine Learning, Auditing, FinTech<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t

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Received:\u00a001 October 2023<\/span><\/p>

Accepted:\u00a029 November 2023<\/span><\/p>

Published:\u00a001 January 2024<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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Thematic Classification:\u00a0Technology Studies: Artificial Intelligence & Deep Learning; Social Sciences: Accounting & Finance<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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\u00a0ABSTRACT<\/span><\/span><\/p>

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.<\/span>\u00a0<\/b><\/p>

Keywords:<\/span> Deep Learning, artificial intelligence, RNN, CNN, AI-NN, accounting.<\/span><\/p>

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IMPACT STATEMENT<\/span><\/p>

In the past year, the accounting profession has witnessed a transformative shift propelled by recent advances and applications of deep learning. The integration of sophisticated algorithms and neural networks has significantly enhanced data processing, analysis, and decision-making within the financial landscape. Deep learning models excel in automating routine tasks, reducing errors, and extracting valuable insights from vast datasets, thereby optimizing operational efficiency. This technological leap empowers accountants to focus on strategic, value-added activities while fostering a more accurate and agile financial ecosystem. The increased reliance on deep learning in auditing, fraud detection, and financial forecasting has not only elevated the profession’s precision but has also opened new avenues for strategic advisory roles. As the accounting, landscape continues to evolve, the profound impact of deep learning on efficiency, accuracy, and strategic positioning marks a groundbreaking milestone in the industry’s evolution.<\/span><\/p>

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About Author<\/span><\/p>

VENKATASUBRAMANIAN GANAPATHY<\/span><\/p>

Objective: Career Growth in the teaching profession with academic excellence and pursuit of further<\/span><\/p>

Qualifications and research.<\/span><\/p>

Academic Profile:<\/span><\/p>

\uf0d8 M.Phil (Commerce) from The Quaide Milleth College for Men- University of Madras-<\/span><\/p>

Ist Class- (2015-2016).<\/span><\/p>

\uf0d8 B.Ed \u2013 IGNOU, New Delhi- Distance Mode- 1 st Class \u2013 December 2009.<\/span><\/p>

\uf0d8 M.Com \u2013 Annamalai University \u2013 Distance Mode- 1 st Class \u2013 May 1995.<\/span><\/p>

\uf0d8 D.P.C.S. (Data Preparation and Computer Software) \u2013 NCVT Course \u2013Sri Ramakrishna<\/span><\/p>

Mission Computer Centre, Chennai \u2013 1 st Class \u2013 April 1993.<\/span><\/p>

\uf0d8 B.Com \u2013 St. Joseph\u2019s College (Autonomous), Trichy \u2013 Bharathidasan University \u2013 1 st<\/span><\/p>

Class \u2013 April 1990.<\/span><\/p>

\uf0d8 ICWA Inter (Group II) \u2013 December 1993.<\/span><\/p>

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Academic Experience: 18 + Years<\/span><\/p>

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Presently working as a Visiting Faculty in the SIRC of ICAI, Nungambakkam, Chennai,<\/span><\/p>

Tamil Nadu, Bharat<\/span><\/p>

Corporate Experience: 9 Years.<\/span><\/p>

\u00a0<\/b><\/p>

Cite this Article<\/span><\/p>

APA (7th ed.):<\/span>\u00a0Ganapathy, V. (2024). Recent Advances And Applications Of Deep Learning (DL) In The Accounting Profession.\u00a0<\/span>Edumania-An International Multidisciplinary Journal<\/span>,\u00a02(1), 77\u2013104.\u00a0<\/span>https:\/\/doi.org\/10.59231\/edumania\/9020<\/span><\/a><\/p>

Chicago (17th ed.):<\/span>\u00a0Ganapathy, Venkatasubramanian. “Recent Advances And Applications Of Deep Learning (DL) In The Accounting Profession.”\u00a0<\/span>Edumania-An International Multidisciplinary Journal<\/span>\u00a02, no. 1 (2024): 77\u2013104.\u00a0<\/span>https:\/\/doi.org\/10.59231\/edumania\/9020<\/span><\/a>.<\/span><\/p>

MLA (9th ed.):<\/span>\u00a0Ganapathy, Venkatasubramanian. “Recent Advances And Applications Of Deep Learning (DL) In The Accounting Profession.”\u00a0<\/span>Edumania-An International Multidisciplinary Journal<\/span>, vol. 2, no. 1, 2024, pp. 77\u2013104.\u00a0<\/span>https:\/\/doi.org\/10.59231\/edumania\/9020<\/span><\/a>.<\/span><\/p>

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Statements & Declarations<\/span><\/p>

Peer Review:<\/span>\u00a0The scholarly quality and contribution of this comprehensive review on deep learning applications in accounting have been confirmed through a rigorous and independent peer-review process conducted by experts in the relevant fields.<\/span><\/p>

Review Type:<\/span>\u00a0This article underwent a double-blind peer review, wherein the identities of the author (Venkatasubramanian Ganapathy) and the reviewers were concealed from each other. The review was conducted by subject experts in artificial intelligence, accounting information systems, financial technology, and deep learning applications.<\/span><\/p>

Competing Interests:<\/span>\u00a0The author, Venkatasubramanian Ganapathy, declares that there are no financial, professional, or personal competing interests that could be perceived to have biased the work presented in this manuscript.<\/span><\/p>

Data Availability:<\/span>\u00a0This manuscript is a review paper synthesizing recent advances and applications of deep learning in the accounting profession. It does not present primary empirical research data. All sources, including technical papers, industry reports, and scholarly works, are cited within the article.<\/span><\/p>

Funding:<\/span>\u00a0This research received no specific grant from any funding agency in the public, commercial, or not-for-profit sectors. The work was completed as part of the author’s professional role at the Southern India Regional Council of the Institute of Chartered Accountants of India (SIRC of ICAI) and personal scholarly effort.<\/span><\/p>

License:<\/span>\u00a0This article is an open-access article distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives (CC BY-NC-ND) 4.0 International License. This license allows others to download this work and share it with others for non-commercial purposes, as long as they credit the author, but they cannot change it in any way or use it commercially.<\/span><\/p>

Ethical Approval:<\/span>\u00a0Ethical approval was not required for this study, as it is a review paper based on publicly available technical and academic literature and did not involve the collection of data from, or experimentation on, human subjects or animals. The work adheres to the highest standards of academic integrity and professional ethics in accounting and technology research.<\/span><\/p>

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REFERENCES<\/span><\/p>

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  3. Learning, D. https:\/\/www.deeplearning.ai\/<\/span><\/p><\/li>

  4. Ganapathy, V. (2023). AI in auditing: A comprehensive review of applications, benefits and challenges. <\/span>Shodh Sari-An International Multidisciplinary Journal<\/span>, <\/span>02<\/span>(4), 328\u2013343. <\/span>https:\/\/doi.org\/<\/span>10.59231\/<\/span>SARI<\/span>7643<\/span><\/a><\/p><\/li>

  5. Learning, A. D. https:\/\/github.com\/ChristosChristofidis\/awesome-deep-learning<\/span><\/p><\/li>

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  8. Convolutional Neural Network. https:\/\/cs231n.github.io\/convolutional-networks\/<\/span><\/p><\/li>

  9. Naveen, N., & Bhatia, A. (2023). Need of Machine Learning to predict Happiness: A Systematic review. <\/span>Edumania-An International Multidisciplinary Journal<\/span>, <\/span>01<\/span>(02), 306\u2013335. <\/span>https:\/\/doi.org\/10.59231\/edumania\/8991<\/span><\/a><\/p><\/li>

  10. Recurrent neural networks. https:\/\/builtin.com\/data-science\/recurrent-neural-networks-and-lstm<\/span><\/p><\/li>

  11. Data science for internal auditors. https:\/\/360digitmg.com\/usa\/data-science-for-internal-auditors<\/span><\/p><\/li>

  12. Deep Learning for accountants. https:\/\/www.smartdatacollective.com\/deep-learning-is-critical-for-modern-small-business-accounting\/<\/span><\/p><\/li><\/ol>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"

    Edumania-An International Multidisciplinary Journal Vol-02, Issue-01 (Jan-Mar 2024) An International scholarly\/ academic journal, peer-reviewed\/ refereed journal, ISSN : 2960-0006 RECENT ADVANCES AND APPLICATIONS OF DEEP LEARNING (DL) IN THE ACCOUNTING PROFESSION Ganapathy, Venkatasubramanian Faculty in Auditing Department, Southern India Regional Council of the Institute of Chartered Accountants of India (SIRC of ICAI), Chennai, Tamil Nadu, […]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":5817,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"postBodyCss":"","postBodyMargin":[],"postBodyPadding":[],"postBodyBackground":{"backgroundType":"classic","gradient":""},"site-sidebar-layout":"no-sidebar","site-content-layout":"page-builder","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"disabled","ast-breadcrumbs-content":"","ast-featured-img":"disabled","footer-sml-layout":"","theme-transparent-header-meta":"default","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"footnotes":""},"class_list":["post-5865","page","type-page","status-publish","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/icert.org.in\/index.php\/wp-json\/wp\/v2\/pages\/5865","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/icert.org.in\/index.php\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/icert.org.in\/index.php\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/icert.org.in\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/icert.org.in\/index.php\/wp-json\/wp\/v2\/comments?post=5865"}],"version-history":[{"count":3,"href":"https:\/\/icert.org.in\/index.php\/wp-json\/wp\/v2\/pages\/5865\/revisions"}],"predecessor-version":[{"id":29662,"href":"https:\/\/icert.org.in\/index.php\/wp-json\/wp\/v2\/pages\/5865\/revisions\/29662"}],"up":[{"embeddable":true,"href":"https:\/\/icert.org.in\/index.php\/wp-json\/wp\/v2\/pages\/5817"}],"wp:attachment":[{"href":"https:\/\/icert.org.in\/index.php\/wp-json\/wp\/v2\/media?parent=5865"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}