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Exploring the feasibility of retrieval-augmented generation with integrating private data into AI-driven BPM tool in company PROMATIS software : master thesis
ID
Sariagac, Turkan Burak
(
Author
),
ID
Indihar Štemberger, Mojca
(
Mentor
)
More about this mentor...
,
ID
Trkman, Peter
(
Member of the commission for defense
)
PDF - Presentation file,
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(2,38 MB)
MD5: 99F2EF32D432011E7C0DF36317B34F32
URL - Source URL, Visit
http://www.cek.ef.uni-lj.si/magister/sariagac5917-B.pdf
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Language:
English
Keywords:
informatics
,
artificial intelligence
,
programmes
,
software
,
business process
,
data
,
implementation
Work type:
Master's thesis/paper
Typology:
2.09 - Master's Thesis
Organization:
EF - School of Economics and Business
Place of publishing:
Ljubljana
Publisher:
T. B. Sariagac
Year:
2025
Number of pages:
1 spletni vir (1 datoteka PDF (V, 68, 6 str.)
PID:
20.500.12556/RUL-175677
UDC:
004.8
COBISS.SI-ID:
244186115
Publication date in RUL:
06.11.2025
Views:
89
Downloads:
13
Metadata:
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Secondary language
Language:
Slovenian
Title:
Raziskovanje izvedljivosti generacije s povečano pridobitvijo z integracijo zasebnih podatkov v orodje za management poslovnih procesov na podlagi umetne inteligence v podjetju PROMATIS
Keywords:
informatika
,
umetna inteligenca
,
programi
,
software
,
poslovni proces
,
podatki
,
izvajanje
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