Big Data and AI in Banking: its current utilization, challenges and way forward

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dc.contributor.advisorSzilágyi, Róbert
dc.contributor.authorPuzarin, Aleksey
dc.contributor.departmentDE--Gazdaságtudományi Karhu_HU
dc.date.accessioned2022-04-25T10:08:59Z
dc.date.available2022-04-25T10:08:59Z
dc.date.created2022-04-19
dc.description.abstractThis thesis looks at the prospects, difficulties, and future of AI and big data in banking. It utilized both quantitative and qualitative research using primary and secondary data sources. 43 banking officials completed a questionnaire, and 10 of them were interviewed to learn more about their views.The first research question looked at the prospects of big data and AI.Second, Big Data and AI are utilized to automate procedures. As main issues of AI in banking the author consider data security, laws and regulations and technical frequent flaws.hu_HU
dc.description.courseBusiness Administration and Managementhu_HU
dc.description.degreeBSc/BAhu_HU
dc.format.extent49hu_HU
dc.identifier.urihttp://hdl.handle.net/2437/331524
dc.language.isoenhu_HU
dc.subjectArtificial Intelligencehu_HU
dc.subjectBig Datahu_HU
dc.subjectBankinghu_HU
dc.subject.dspaceDEENK Témalista::Közgazdaságtudományhu_HU
dc.titleBig Data and AI in Banking: its current utilization, challenges and way forwardhu_HU
dc.title.translatedBig Data és mesterséges intelligencia a banki szektorban: jelenlegi felhasználása, kihívásai és lehetőségeihu_HU
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