THE IMPACT OF OCR AND MACHINE LEARNING SOFTWARE IN THE PROCESSING OF FINANCIAL-ACCOUNTING DOCUMENTS AND INFORMATION

Stoica Raluca Andreea, Horaicu Adriana, Iamandache (florea) Laura Andreea, Iacob (zavincu) Adriana, Zuca Marilena and Munteanu Victor
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Stoica Raluca Andreea: VALAHIA UNIVERSITY OF TARGOVISTE, ROMANIA
Horaicu Adriana: VALAHIA UNIVERSITY OF TARGOVISTE, ROMANIA
Iamandache (florea) Laura Andreea: VALAHIA UNIVERSITY OF TARGOVISTE, ROMANIA
Iacob (zavincu) Adriana: VALAHIA UNIVERSITY OF TARGOVISTE, ROMANIA
Zuca Marilena: ROMANO-AMERICANA UNIVERSITY, BUCHAREST, ROMANIA
Munteanu Victor: VALAHIA UNIVERSITY OF TARGOVISTE, ROMANIA

Annals - Economy Series, 2023, vol. 6II, 270-275

Abstract: The digitization of the modern world economy causes changes in the way of doing business. Assuming that there is a further increase in competition in domestic and international markets, most companies explain the new technology that produces fundamental changes in all aspects of society and by increasing the world economy. Artificial intelligence (AI) expands business opportunities. Currently, the activities of business organizations also include production and the use of information technology to organize all other types of production and ensure new economic growth. This change is also found in the economy, especially in accounting, analysis and management activities, where new digital technologies are processed and implemented. The impact of digitization is noticeable in all fields of activity in this world, and the field of finance and accounting is no exception to the development of technological changes. Given the fact that professionals are gradually inclined to try to work with new technologies, the present scientific approach suggests analyzing the impact produced by AI technology in the processing of financial-accounting information and obtaining results.

Keywords: digitization; documents; OCR (Optical Character Recognition); AI; financial and accounting information; the impact of artificial intelligence (search for similar items in EconPapers)
Date: 2023
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