Conference thesis demonstrates improved management efficiency in organizations through AI and data integration, highlighting strategic implications.
Digital transformation has become a strategic driver of organizational development, requiring a fundamental redesign of management systems, business processes, and decision-making mechanisms. This conference thesis examines theoretical and practical approaches to improving the efficiency of organizational management systems through the integration of artificial intelligence, big data analytics, business intelligence, enterprise resource planning, and business process management. It argues that sustainable digital transformation depends not only on technological adoption but also on strategic alignment, organizational culture, leadership, and digital competencies. The paper proposes an integrated conceptual approach that combines data-driven decision-making, process optimization, and continuous innovation to strengthen organizational competitiveness.
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Umedovna et al. (2026) studied this question.
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