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Title:Uporaba metod umetne inteligence v bančništvu
Authors:ID Težak, Iva (Author)
ID Jagrič, Timotej (Mentor) More about this mentor... New window
Files:.pdf Magistrska_naloga_Uporaba_metod_umetne_inteligence_v_bancnistvu_Tezak_Iva__organized.pdf (1,36 MB)
MD5: DD3FB75F2C66DBE73625E64BFCB3F5FE
 
Language:Slovenian
Work type:Master's thesis/paper
Typology:2.09 - Master's Thesis
Organization:EPF - Faculty of Business and Economics
Abstract:Magistrska naloga obravnava uporabo umetne inteligence (UI) v bančništvu, kjer postaja ključni dejavnik za izboljšanje učinkovitosti poslovanja, personalizacije storitev in upravljanja tveganj. Sodobne metode UI, kot so strojno in globoko učenje ter obdelava naravnega jezika, že omogočajo avtomatizacijo procesov, prepoznavanje tveganj ter preprečevanje goljufij. V teoretičnem delu naloge so predstavljeni različne tehnike umetne inteligence, zgodovinski razvoj tehnologije ter regulativni in etični izzivi, ki spremljajo njeno uporabo v finančnem sektorju. Poseben poudarek je na prednostih, ki jih uporaba umetne inteligence prinaša v bančništvo, kot so nižji stroški, hitrejše storitve in večja prilagodljivost potrebam strank, vendar je hkrati opozorjeno na regulativne izzive in potrebo po zaščiti osebnih podatkov. V empiričnem delu naloga analizira raziskavo, ki vključuje anketni vprašalnik o uporabi in zavedanju strank glede umetne inteligence v bančnih storitvah. Rezultati kažejo, da je uporaba UI še vedno v zgodnji fazi in da je med strankami zaznana zadržanost glede uporabe novih tehnologij, zlasti zaradi skrbi za varnost podatkov. Zaključki naloge potrjujejo, da UI predstavlja ključni dejavnik prihodnje transformacije bančništva, vendar zahteva previden pristop pri svoji implementaciji in regulaciji.
Keywords:umetna inteligenca, bančništvo, tehnologija
Place of publishing:Maribor
Publisher:I. Težak
Year of publishing:2025
PID:20.500.12556/DKUM-92060 New window
UDC:336.71:004.8
COBISS.SI-ID:247747331 New window
Publication date in DKUM:04.09.2025
Views:310
Downloads:104
Metadata:XML DC-XML DC-RDF
Categories:EPF
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Licences

License:CC BY-SA 4.0, Creative Commons Attribution-ShareAlike 4.0 International
Link:http://creativecommons.org/licenses/by-sa/4.0/
Description:This Creative Commons license is very similar to the regular Attribution license, but requires the release of all derivative works under this same license.
Licensing start date:13.03.2025

Secondary language

Language:English
Title:Applying artificial intelligence methods in banking
Abstract:The master's thesis addresses the application of artificial intelligence (AI) in banking, where it is becoming a crucial factor in improving operational efficiency, service personalization, and risk management. Modern AI methods, such as machine and deep learning and natural language processing, are already enabling the automation of processes, risk identification, and fraud prevention. The theoretical part of the thesis presents various AI techniques, the historical development of the technology, and the regulatory and ethical challenges accompanying its use in the financial sector. Special attention is given to the benefits AI brings to banking, such as lower costs, faster services, and greater adaptability to customer needs, while also highlighting regulatory challenges and the need for data protection. The empirical part of the thesis analyses a survey that includes a questionnaire on customer use and awareness of AI in banking services. The results show that AI is still in its early stages of adoption and that customers are somewhat hesitant about using new technologies, particularly due to concerns about data security. The conclusions confirm that AI is a key factor in the future transformation of banking but requires a cautious approach to its implementation and regulation.
Keywords:artificial intelligence, banking, technologies


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