AI in Industry: Literature Review
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23210%2F24%3A43973817" target="_blank" >RIV/49777513:23210/24:43973817 - isvavai.cz</a>
Result on the web
<a href="https://www.sjf.tuke.sk/transferinovacii/pages/archiv/transfer/50-2024/pdf/125-129.pdf" target="_blank" >https://www.sjf.tuke.sk/transferinovacii/pages/archiv/transfer/50-2024/pdf/125-129.pdf</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
AI in Industry: Literature Review
Original language description
This study explores the impact of artificial intelligence (AI) on optimizing production processes in the manufacturing industry. The main objective of this paper is to provide users with understanding of AI implementation and applications in the industry. By studying the current literature, the paper ocuses attention on how AI can facilitate the decision-makers enhancing efficiency in manufacturing sectors. The results suggest that implementing and integrating AI in manufacturing sectors leads to significant improvements in processes and customer satisfaction.
Czech name
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Czech description
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Classification
Type
J<sub>ost</sub> - Miscellaneous article in a specialist periodical
CEP classification
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OECD FORD branch
20301 - Mechanical engineering
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Transfer inovácií
ISSN
1337-7094
e-ISSN
1337-7094
Volume of the periodical
Neuveden
Issue of the periodical within the volume
50
Country of publishing house
SK - SLOVAKIA
Number of pages
5
Pages from-to
125-129
UT code for WoS article
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EID of the result in the Scopus database
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