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Title:Umetna inteligenca – trenutni in prihodnji izzivi bančništva
Authors:ID Gergorec, Jasmina (Author)
ID Primec, Andreja (Mentor) More about this mentor... New window
Files:.pdf UN_Gergorec_Jasmina_2020.pdf (620,32 KB)
MD5: C18A9C3F01B969B792D229AE84EF4A8A
PID: 20.500.12556/dkum/006951a2-cd54-4f47-9a14-3d228d34ad36
 
Language:Slovenian
Work type:Diploma project paper
Typology:2.11 - Undergraduate Thesis
Organization:EPF - Faculty of Business and Economics
Abstract:Uporaba orodij za umetno inteligenco se je v zadnjem času stopnjevala v vseh gospodarskih panogah, med drugim tudi zaradi naraščajočega obsega digitalnih podatkov in vse večje računalniške zmogljivosti. Umetna inteligenca spreminja vse vidike poslovanja, tudi v bančništvu. Banke si danes ne morejo več privoščiti dolge čakalne vrste in pogoste obiske njihovih poslovalnic. Potrebujejo preobrazbo, da bi lahko sledile pričakovanjem svojih strank. Poglobljeno in strojno učenje so izboljšale izkušnje s strankami. Umetna inteligenca vključuje obdelavo naravnega jezika, prepoznavanje govora in strojni vid. Na izbiro imamo več vrst tehnik, ene izmed teh so: nevronske mreže, genetski algoritem ali mehka logika. Motivi za uvajanje umetne inteligence v bančništvo so predvsem odpravljanje človeških napak, boljši regulativni nadzor, hitrejše prepoznavanje in obvladovanje tveganj, prepoznavanje goljufij, boljša finančna varnost, kar se odraža pri nižjih stroških poslovanja ter predstavlja konkurenčno prednost posamezne banke.
Keywords:Umetna inteligenca, bančništvo, chatbot, strojno učenje, obdelava naravnega jezika
Place of publishing:Maribor
Publisher:[J. Gergorec]
Year of publishing:2020
PID:20.500.12556/DKUM-77422 New window
UDC:004.8
COBISS.SI-ID:40000003 New window
NUK URN:URN:SI:UM:DK:TZER2SV5
Publication date in DKUM:30.11.2020
Views:1390
Downloads:194
Metadata:XML RDF-CHPDL DC-XML DC-RDF
Categories:EPF
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Licences

License:CC BY-NC-ND 4.0, Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
Link:http://creativecommons.org/licenses/by-nc-nd/4.0/
Description:The most restrictive Creative Commons license. This only allows people to download and share the work for no commercial gain and for no other purposes.
Licensing start date:31.08.2020

Secondary language

Language:English
Title:Artificial intelligence – current and future challenges in banking
Abstract:Lately, the use of tools for artificial intelligence has been increasing in every branch. The main reasons for this are the rapid growth of digital information and computer data storage. It affects all aspects of business, including banking. Banks can not afford to have long waiting lines and frequent visits to their offices. They need to incorporate change so they can satisfy the expectations of their clients. In-depth learning and machine learning have improved customer experiences. Artificial intelligence consists of natural language processing, speech recognition, and machine vision. There are different techniques of artificial intelligence, such as neural networks, genetic algorithms, and fuzzy logic. With the use of artificial intelligence, banks can avoid human error. Other advantages of artificial intelligence are better regulatory control, risk detection and damage control, fraud detection, and financial stability. As a result, the costs are lower, and business performance is improved.
Keywords:Artificial intelligence, banking, machine learning, chatbot, natural language processing


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