IDEAS home Printed from https://ideas.repec.org/a/vrs/timjeb/v15y2022i1p73-90n1005.html
   My bibliography  Save this article

Artificial intelligence algorithms applied in business and accounting

Author

Listed:
  • Török Réka Melinda

    (Phd Candidate, West University of Timisoara, Romania)

Abstract

The paper provides an explanation of some terms used in the field of business and accounting when it comes to the implementation of artificial intelligence in these areas. The development of artificial intelligence began in the 1950s, of course at first with small steps, but in the last two years it is developing at the speed of light. In order to understand the algorithms with which artificial intelligence works, I chose to outline the work machine learning, big data, neural networks. The benefits of business and accounting can be observed in easing and reducing the time in data processing. From the applications used in accounting we chose the presentation of AlphaSense, TensorFlow, Kensho, Clarifai. If we think about accounting, that until now it involved archiving on paper, blockchain and cloud accounting intervene towards our help which, thanks to distributed accounting technology, eliminate the need to enter accounting information in several databases.

Suggested Citation

Handle: RePEc:vrs:timjeb:v:15:y:2022:i:1:p:73-90:n:1005
DOI: 10.2478/tjeb-2022-0005
as

Download full text from publisher

File URL: https://doi.org/10.2478/tjeb-2022-0005
Download Restriction: no
File URL: https://libkey.io/10.2478/tjeb-2022-0005?utm_source=ideas
LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
---><---

More about this item

Keywords

AI algortihm; Machine learning; Big data; Blockchain; Cloud accounting;
All these keywords.

JEL classification:

  • M41 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Accounting - - - Accounting
  • M49 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Accounting - - - Other

Statistics

Access and download statistics

Corrections

All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:vrs:timjeb:v:15:y:2022:i:1:p:73-90:n:1005. See general information about how to correct material in RePEc.

If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

We have no bibliographic references for this item. You can help adding them by using this form .

If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Peter Golla (email available below). General contact details of provider: https://www.sciendo.com .

Please note that corrections may take a couple of weeks to filter through the various RePEc services.

IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.