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            [journal] => stdClass Object
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                    [id_jnl] => 66
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    [1] => stdClass Object
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            [section] => stdClass Object
                (
                    [section] => 1123
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    [2] => stdClass Object
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            [title] => Array
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                    [0] => Artificial intelligence in the management of civil aeronautics in Cuba: potential and challenges@en
                    [1] => La Inteligencia Artificial en la gestión de la aeronáutica civil en Cuba: potencialidades y retos@es
                )

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    [3] => stdClass Object
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                    [0] => To analyze the potential and challenges associated with the adoption of Artificial Intelligence (AI) in the management of the state-owned airline Cubana de Aviación, providing a tiered roadmap that has not previously been documented for state-owned enterprises with operational and budgetary constraints. Methodology: A descriptive and analytical approach is employed, complemented with documentary review and market intelligence sources. Three key technological pillars are examined: robotic process automation, natural language processing, and machine learning for dynamic price optimization, forming the basis of a tiered digitalization model. Results and Discussion: Progressive AI implementation can enhance administrative efficiency, customer experience, and institutional profitability, provided it is supported by solid data governance and effective organizational change management. Conclusions: AI constitutes a strategic tool to strengthen the economic and operational sustainability of Civil Aviation in Cuba. Contribution: This article demonstrates the potential of AI in improving the management of state-owned companies in Cuba and proposes a concrete adoption roadmap.@en
                    [1] => Objetivo: Analizar las potencialidades y retos asociados a la adopción de la Inteligencia Artificial (IA) en la gestión de la aerolínea estatal Cubana de Aviación, aportando una hoja de ruta escalonada que no ha sido previamente documentada en empresas estatales con limitaciones operativas y presupuestarias. Metodología: Se emplea un enfoque descriptivo y analítico, complementado con revisión documental y fuentes de inteligencia de mercado. Se examinan tres pilares tecnológicos clave: automatización robótica de procesos, procesamiento del lenguaje natural y machine learning para optimización dinámica de precios, como base para un modelo escalonado de digitalización. Resultados y Discusión: La implementación progresiva de IA puede mejorar la eficiencia administrativa, la experiencia del cliente y la rentabilidad institucional, siempre que se sustente en gobernanza de datos sólida y una gestión adecuada del cambio organizacional. Conclusiones: La IA constituye una herramienta estratégica para fortalecer la sostenibilidad económica y operativa de la Aviación Civil en Cuba. Aporte: Este artículo muestra las potencialidades de la IA en el perfeccionamiento de la gestión de empresas estatales cubanas y propone una hoja de ruta concreta para su adopción.@es
                )

        )

    [4] => stdClass Object
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            [author] => Array
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                    [0] => Alejandro García Herrera
                    [1] => Roberto De Armas Urquiza
                )

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    [5] => stdClass Object
        (
            [subject] => Array
                (
                    [0] => Inteligencia artificial@es
                    [1] => Gestión pública@es
                    [2] => Automatización@es
                    [3] => Gobernanza de datos@es
                    [4] => Transformación digital@es
                )

        )

    [6] => stdClass Object
        (
            [source] => stdClass Object
                (
                    [vol] => 21
                    [nr] => 
                    [year] => 2025
                    [theme] => 
                )

        )

    [7] => stdClass Object
        (
            [datePub] => Array
                (
                    [0] => 2026-01-07
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                                    [0] => https://revistasbnjm.sld.cu/index.php/BAI/article/view/1078
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                    [1] => stdClass Object
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                                    [0] => https://revistasbnjm.sld.cu/index.php/BAI/article/view/1078/812
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    [10] => stdClass Object
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            [language] => Array
                (
                    [0] => es
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    [11] => stdClass Object
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            [license] => Array
                (
                    [0] => RESERVED
                    [1] => http://creativecommons.org/licenses/by-nc-sa/4.0
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