Artificial intelligence in the management of civil aeronautics in Cuba: potential and challenges
Keywords:
Inteligencia artificial, gestión pública, automatización, gobernanza de datos, transformación digitalAbstract
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.
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