Towards understanding of artificial intelligence in accounting profession

International Journal of Business and Social Science Research (IJBSSR)

View Publication Info
 
 
Field Value
 
Title Towards understanding of artificial intelligence in accounting profession
 
Creator Sahoo, Aditya Prasad Sahoo
Dr Yajnya Dutta Nayak
 
Subject Artificial Intelligence (AI)
Knowledge-based Systems & Accounting Profession
 
Description Accountants have embraced the emission of automation over many years to get better the efficiency and effectiveness of their work. But technology has not been able to replace the need for expert knowledge and decision-making. Earlier generations of ‘intelligent systems have usually demonstrated the progressing power of human expertise and the restrictions of machines. In the upcoming decades, intelligent systems must take over more and better decision-making tasks from humans. While accountant has been using technology for a lot of years to improve what they do and deliver more value to businesses, this is an opportunity to reimagine and radically improve the quality of business and investment decisions which is the ultimate purpose of the profession. Accountants, as expert decision-makers, use both ways of thinking they apply their knowledge to specific situations to make reasoned decisions, although also make quick intuitive decisions based on extensive experience in their field.  Today, AI is being used for image recognition, object identification, detection, classification, and automated geophysical feature detection. These are underlying tasks that once required the input of a human. Focusing on how artificial intelligence will impact accountants, AI will very soon help the organization to automate much of the routine and repetitive activities that are undertaken on a daily, weekly or annual basis. It will also help the organization to empower quick decision-making to create smart insights examine huge quantities of data with ease.
 
Publisher The Institute of Academic Research and Publication (IARP)
 
Date 2021-05-30
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
 
Format application/pdf
 
Identifier https://ijbssrnet.com/index.php/ijbssr/article/view/51
10.47742/ijbssr.v2n5p1
 
Source International Journal of Business and Social Science Research; Vol. 2 No. 5 (2021): May; 1-5
2709-2143
 
Language eng
 
Relation https://ijbssrnet.com/index.php/ijbssr/article/view/51/57
 
Rights https://creativecommons.org/licenses/by-sa/4.0
 

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