Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.12188/31965
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dc.contributor.authorMihalj Bakator, Dragan Cockalo and Milan Nikolicen_US
dc.date.accessioned2024-12-04T09:50:24Z-
dc.date.available2024-12-04T09:50:24Z-
dc.date.issued2024-12-
dc.identifier.urihttp://hdl.handle.net/20.500.12188/31965-
dc.description.abstractThis paper analyzes the synergistic integration of AI-driven predictive analytics within Industry 5.0, emphasizing its transformative impact on business operations across various sectors. It highlights the role of artificial intelligence in enhancing human-machine collaboration to create more responsive, sustainable, and personalized manufacturing environments. Through detailed analysis, the paper notes how AI not only optimizes operational efficiencies but also enables the personalization of products and services, thus meeting diverse consumer needs with unprecedented precision. The study proposes a theoretical model comprising three main elements: the enterprise, AI-driven predictive analytics, and the enterprise in Industry 5.0. The paper offers comprehensive strategies for governments, enterprises, and individuals to improve problem-solving and foster innovation within the rapidly evolving industrial landscape.en_US
dc.language.isoenen_US
dc.subjectIndustry 5.0en_US
dc.subjectAI solutionsen_US
dc.subjectPredictive analyticsen_US
dc.subjectBusinessen_US
dc.titleThe Role of Industry 5.0 in Advancing AI-Driven Predictive Analytics in Business Operationsen_US
dc.typeProceeding articleen_US
dc.relation.conference5th International Scientific Conference "Economic and Business Trends Shaping the Future"en_US
dc.identifier.doi10.47063/EBTSF.2024.0019-
item.fulltextWith Fulltext-
item.grantfulltextopen-
Appears in Collections:Conference Proceedings: Economic and Business Trends Shaping the Future
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