ARTIFICIAL INTELLIGENCE IN SAMARKAND MUSEUMS CONFERENCE AND BUKHARA SMART TOURISM INITIATIVES
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https://doi.org/10.5281/zenodo.20338493;
artificial intelligence, Samarkand museums, Bukhara smart tourism, cultural heritage, computer vision, NLP, tourist flow prediction, digital transformation, Uzbekistan tourism, smart city, museum informatics, personalized guides.Abstrak
This article provides an in-depth analysis of the integration of artificial intelligence (AI) in cultural heritage management through two interconnected case studies: the International Conference on AI in Museums held in Samarkand, and the smart tourism initiatives implemented in Bukhara. In particular, the degree of technological readiness, practical applications, and socio-economic impact of AI solutions in museum curation, visitor engagement, and urban tourism management were considered. Technological approaches to AI deployment, including computer vision for artifact recognition, natural language processing for multilingual guides, predictive analytics for tourist flow management, and personalized recommendation systems, are presented with reference to existing projects in Uzbekistan. The economic and cultural advantages of implementing AI in heritage tourism are substantiated. The research results serve as an important scientific and practical basis for sustainable digital transformation of Uzbekistan’s tourism sector.Iqtiboslar
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Rakhimov S.A. et al. Fundamentals of smart tourism. – Tashkent, 2022.
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AI in heritage tourism – opportunities and risks. Journal of Digital Tourism in Uzbekistan, 2024(2), 45–59.
Ministry of Digital Technologies of the Republic of Uzbekistan. Smart Tourism Initiative Report. Tashkent, 2024.
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