Klasifikacija poslovnih dokumentov z umetno inteligenco

diplomsko delo

Lina Mešič (Author), Andreja Pucihar (Mentor), Ivo Vasev (Co-mentor)

Abstract

V diplomskem delu se osredotočamo na uporabo umetne inteligence v dokumentnih sistemih in na njen vpliv na optimizacijo poslovnih procesov. Namen dela je raziskati, kako lahko umetna inteligenca izboljša učinkovitost, produktivnost ter odločanje na podlagi pridobljenih podatkov. Področje raziskave zajema potencialno integracijo umetne inteligence v obstoječe dokumentne sisteme podjetij. Za izvedbo raziskave smo uporabili metode, kot so anketiranje zaposlenih v podjetjih, analizo in pregled literature in študije primerov. V anketi smo zbirali podatke o poznavanju in uporabi umetne inteligence ter mnenja glede njene implementacije v dokumentne sisteme. Rezultati raziskave kažejo, da večina anketirancev pozna potencial umetne inteligence in vidi največji doprinos pri uporabi le-te pri iskanju dokumentov v naravnem jeziku. Kljub temu obstajajo pomisleki glede varnosti podatkov, etičnih vprašanj in pomanjkanja nadzora. V zaključku želimo poudariti, da ima umetna inteligenca velik vpliv na izboljšanje poslovnih procesov, učinkovitost in kakovost poslovanja, vendar je potrebna skrbna implementacija z ustreznimi varnostnimi in etičnimi ukrepi.

Keywords

umetna inteligenca;dokumentni sistemi;optimizacija poslovnih procesov;varnost podatkov;

Data

Language:	Slovenian
Year of publishing:	2024
Typology:	2.11 - Undergraduate Thesis
Organization:	UM FOV - Faculty of Organizational Sciences
Publisher:	[L. Mešič]
UDC:	004.8
COBISS:	211741443
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Downloads:	0
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Other data

Secondary language:	English
Secondary title:	Classification of business documents with artificial intelligence
Secondary abstract:	In this thesis, we focus on the use of artificial intelligence in document management systems and its impact on the optimization of business processes. The purpose of the work is to explore how artificial intelligence can enhance efficiency, productivity, and decision-making based on the data obtained. The research area includes the potential integration of artificial intelligence into existing document management systems. For the research, we used methods such as an employee survey in various companies, literature review, and case studies. The survey collected data on the knowledge and usage of artificial intelligence, as well as opinions on its implementation in document management systems. The research results indicate that most respondents recognize the potential of artificial intelligence, seeing its greatest benefit in the optimization of use, particularly in improving document search in natural language. However, concerns remain regarding data security, ethical issues, and lack of control. In conclusion, it is emphasized that artificial intelligence has significant potential to improve business processes and the efficiency and quality of operations. Nonetheless, careful implementation with appropriate security and ethical measures is necessary.
Secondary keywords:	Umetna inteligenca;Univerzitetna in visokošolska dela;
Type (COBISS):	Bachelor thesis/paper
Thesis comment:	Univ. v Mariboru, Fak. za organizacijske vede
Pages:	VI, 53 f.
ID:	24814175