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Artificial intelligence algorithms applied in business and accounting

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  • 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

  • Török Réka Melinda, 2022. "Artificial intelligence algorithms applied in business and accounting," Timisoara Journal of Economics and Business, Sciendo, vol. 15(1), pages 73-90.
    • Handle: RePEc:vrs:timjeb:v:15:y:2022:i:1:p:73-90:n:1005
    DOI: 10.2478/tjeb-2022-0005
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    References listed on IDEAS

    as
    1. Adrian Gepp & Martina K. Linnenluecke & Terrence J. O’Neill & Tom Smith, 2018. "Big data techniques in auditing research and practice: Current trends and future opportunities," Journal of Accounting Literature, Emerald Group Publishing Limited, vol. 40(1), pages 102-115, February.
    2. Susanne Leitner-Hanetseder & Othmar M. Lehner & Christoph Eisl & Carina Forstenlechner, 2021. "A profession in transition: actors, tasks and roles in AI-based accounting," Journal of Applied Accounting Research, Emerald Group Publishing Limited, vol. 22(3), pages 539-556, February.
    3. Adriana Tiron-Tudor & Delia Deliu, 2021. "Big Data’s Disruptive Effect on Job Profiles: Management Accountants’ Case Study," JRFM, MDPI, vol. 14(8), pages 1-26, August.
    4. repec:eme:jal000:j.acclit.2017.05.003 is not listed on IDEAS
    5. repec:eme:jaar00:jaar-10-2020-0201 is not listed on IDEAS
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    Keywords

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    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

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