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Title:Primerjalna analiza vpliva umetne inteligence in kibernetske varnosti na lokalne in oblačne sisteme ERP
Authors:ID Deržič, Katja (Author)
ID Sternad Zabukovšek, Simona (Mentor) More about this mentor... New window
Files:.pdf MAG_Derzic_Katja_2025.pdf (2,23 MB)
MD5: D22A96E2FB3EA7298F7423F5B1FD0515
 
Language:Slovenian
Work type:Master's thesis/paper
Typology:2.09 - Master's Thesis
Organization:EPF - Faculty of Business and Economics
Abstract:Na področju digitalnega poslovanja se podjetja srečujejo z vedno večjimi težavami v svojih poslovnih procesih, zato sta umetna inteligenca in kibernetska varnost sestavni del sistemov ERP. S pomočjo le-teh se v sistemih ERP uporablja za boljšo avtomatizacijo poslovnih procesov in zagotavljanje večje varnosti podatkov. Podjetja se odločajo, ali bodo uporabljala sisteme ERP ali sisteme ERP v oblaku, čeprav se dandanes zaradi naprednejših funkcionalnosti večina podjetij odloča za sisteme ERP v oblaku. Sistemi ERP se vse bolj prilagajajo specifičnim industrijskim panogam, kar pomeni, da so že vnaprej konfigurirani za posamezna področja dela. V sistemih ERP se pojavijo kibernetski varnostni ukrepi, ki vključujejo pogoste varnostne ocene in posodobitve programske opreme, ki zmanjšujejo verjetnost morebitnih vdorov. S preučevanjem vedenjskih trendov ima umetna inteligenca ključno vlogo pri prepoznavanju nenavadnih dejavnosti in preprečevanju varnostnih napadov, ko se zgodijo. V magistrskem delu predstavljamo funkcionalnosti, razvoj, vrste, prednosti in slabosti, uvajanje, trende in globalne ter lokalne ponudnike za sisteme ERP, sisteme ERP v oblaku, umetno inteligenco in kibernetsko varnost. V sedmem poglavju smo predstavili primerjalno analizo vpliva umetne inteligence in kibernetske varnosti na sisteme ERP in sisteme ERP v oblaku. Skozi delo smo prišli do ugotovitve, da vgradnja umetne inteligence v sisteme ERP povečuje avtomatizacijo poslovnih procesov in zmanjšuje človeške napake, medtem ko kibernetska varnost varuje podatke z različnimi zaščitnimi varnostnimi ukrepi. V prihodnosti pričakujemo še večjo integracijo sistemov ERP z drugimi informacijskimi tehnologijami, vključno z internetom stvari in napredno analitiko podatkov. S tem bodo podjetja dosegla še večjo povezanost, avtomatizacijo ter boljšo zaščito in sledljivost podatkov.
Keywords:sistem ERP, sistem ERP v oblaku, razlika med lokalno nameščenimi sistemi ERP in sistemi ERP v oblaku, umetna inteligenca, kibernetska varnost ter primerjalna analiza vpliva umetne inteligence in kibernetske varnosti na sistem ERP in sistem ERP v oblaku.
Place of publishing:Maribor
Publisher:K. Deržič
Year of publishing:2025
PID:20.500.12556/DKUM-91952 New window
UDC:004.8
COBISS.SI-ID:231936515 New window
Publication date in DKUM:09.04.2025
Views:172
Downloads:77
Metadata:XML 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:05.03.2025

Secondary language

Language:English
Title:Comparative analysis of the impact of artificial intelligence and cyber security on local and cloud-based ERP systems
Abstract:In the field of digital business, companies experience more and more difficulties in their business processes; therefore, artificial intelligence and cyber security are an integral part of ERP systems. With the help of these, the ERP system is used to better automate business processes and ensure greater data security. Companies are deciding whether to use an ERP system or a cloud ERP system, although today, due to more advanced functionalities, most companies are opting for a cloud ERP system. ERP systems are increasingly adapting to specific industries, which means that they are already configured in advance for individual areas of work. Cyber security measures occur in the ERP system, which include frequent security assessments and software updates that reduce the possibility of intrusions. By studying behavioural trends, artificial intelligence plays a key role in identifying unusual activities and preventing security attacks when they happen. In the master's thesis, we present functionalities, development, types, strengths and weaknesses, deployment, trends and global and local providers for the ERP system, cloud ERP system, artificial intelligence and cyber security. In the seventh chapter, we presented a comparative analysis of the impact of artificial intelligence and cyber security on the ERP system and the cloud ERP system. Through our work, we have come to the conclusion that the integration of artificial intelligence into the ERP system increases the automation of business processes and reduces human errors, while cyber security protects data with various protective security measures. In the future, we expect even greater integration of ERP systems with other information technologies, including the Internet of Things and advanced data analytics. In this way, companies will achieve even greater connectivity, automation, and better protection and traceability of data.
Keywords:ERP system, cloud ERP system, difference between locally installed ERP systems and cloud ERP systems, artificial intelligence, cyber security and comparative analysis of the impact of artificial intelligence and cyber security on the ERP system and the cloud ERP system.


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