AI in Industry: Literature Review
| dc.contributor.author | Ferizi, Fidan | |
| dc.contributor.author | Broum, Tomáš | |
| dc.date.accessioned | 2025-06-20T08:33:28Z | |
| dc.date.available | 2025-06-20T08:33:28Z | |
| dc.date.issued | 2024 | |
| dc.date.updated | 2025-06-20T08:33:28Z | |
| dc.description.abstract | 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. | en |
| dc.format | 5 | |
| dc.identifier.issn | 1337-7094 | |
| dc.identifier.obd | 43944818 | |
| dc.identifier.orcid | Ferizi, Fidan 0009-0008-3322-391X | |
| dc.identifier.orcid | Broum, Tomáš 0000-0003-2330-013X | |
| dc.identifier.uri | http://hdl.handle.net/11025/60152 | |
| dc.language.iso | en | |
| dc.project.ID | SGS-2024-032 | |
| dc.relation.ispartofseries | Transfer inovácií | |
| dc.rights.access | A | |
| dc.subject | artificial intelligence (AI) | en |
| dc.subject | manufacturing | en |
| dc.subject | production optimization | en |
| dc.subject | quality and process optimization | en |
| dc.title | AI in Industry: Literature Review | en |
| dc.type | Článek v recenzovaném periodiku (Jost) | |
| dc.type | ČLÁNEK | |
| dc.type.status | Published Version | |
| local.files.count | 1 | * |
| local.files.size | 452960 | * |
| local.has.files | yes | * |
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