{"id":5865,"date":"2024-01-04T18:04:18","date_gmt":"2024-01-04T18:04:18","guid":{"rendered":"https:\/\/icertpublication.com\/?page_id=5865"},"modified":"2024-01-04T18:39:58","modified_gmt":"2024-01-04T18:39:58","slug":"recent-advances-and-applications-of-deep-learning-dl-in-the-accounting-profession","status":"publish","type":"page","link":"https:\/\/icertpublication.com\/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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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>


<\/b><\/p>

ABSTRACT<\/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><\/p>


<\/b><\/p>

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



<\/b><\/p>

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>


<\/b><\/p>

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>


<\/b><\/p>

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


<\/b><\/p>

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>


<\/b><\/p>

REFERENCES<\/span><\/p>

  1. AICPA and CIMA. <\/span>Journal of Accountancy<\/span>. https:\/\/www.journalofaccountancy.com\/newsletters\/2018\/oct\/artificial-intelligence-terminology.html.<\/span><\/p><\/li>

  2. Learning, D. (Amazon Web Service). https:\/\/aws.amazon.com\/what-is\/deep-learning\/<\/span><\/p><\/li>

  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>

  6. Wiley Online Library. https:\/\/onlinelibrary.wiley.com\/doi\/abs\/10.1111\/exsy.13135<\/span><\/p><\/li>

  7. Sciencedirect<\/span>. https:\/\/www.sciencedirect.com\/topics\/earth-and-planetary-sciences\/artificial-neural-network<\/span><\/p><\/li>

  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>




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    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, Bharat ABSTRACT In recent years, the accounting profession has undergone a transformative revolution with the help of rapid advancement […]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":5817,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"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"],"_links":{"self":[{"href":"https:\/\/icertpublication.com\/index.php\/wp-json\/wp\/v2\/pages\/5865","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/icertpublication.com\/index.php\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/icertpublication.com\/index.php\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/icertpublication.com\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/icertpublication.com\/index.php\/wp-json\/wp\/v2\/comments?post=5865"}],"version-history":[{"count":7,"href":"https:\/\/icertpublication.com\/index.php\/wp-json\/wp\/v2\/pages\/5865\/revisions"}],"predecessor-version":[{"id":5909,"href":"https:\/\/icertpublication.com\/index.php\/wp-json\/wp\/v2\/pages\/5865\/revisions\/5909"}],"up":[{"embeddable":true,"href":"https:\/\/icertpublication.com\/index.php\/wp-json\/wp\/v2\/pages\/5817"}],"wp:attachment":[{"href":"https:\/\/icertpublication.com\/index.php\/wp-json\/wp\/v2\/media?parent=5865"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}