Artificial intelligence algorithms applied in business and accounting

Török Réka Melinda
Additional contact information
Török Réka Melinda: Phd Candidate, West University of Timisoara, Romania

Timisoara Journal of Economics and Business, 2022, vol. 15, issue 1, 73-90

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.

Keywords: AI algortihm; Machine learning; Big data; Blockchain; Cloud accounting (search for similar items in EconPapers)
JEL-codes: M41 M49 (search for similar items in EconPapers)
Date: 2022
References: Add references at CitEc
Citations:

Downloads: (external link)
https://doi.org/10.2478/tjeb-2022-0005 (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:vrs:timjeb:v:15:y:2022:i:1:p:73-90:n:1005

DOI: 10.2478/tjeb-2022-0005

Access Statistics for this article

Timisoara Journal of Economics and Business is currently edited by Mihaela Neamtu

More articles in Timisoara Journal of Economics and Business from Sciendo
Bibliographic data for series maintained by Peter Golla ().