Keywords
Abstract
The rapid advancement of digital technologies has transformed the global economy, making Data Science one of the most important drivers of economic growth and innovation. This article examines the role of Data Science technologies in global economic development by analyzing their applications in economic forecasting, international trade, financial markets, business management, and digital transformation. Special attention is given to the integration of Big Data, Artificial Intelligence, Machine Learning, and Business Analytics in supporting data-driven decision-making and improving organizational efficiency.
The study also discusses how Data Science contributes to increasing productivity, optimizing resource allocation, reducing financial risks, and enhancing global competitiveness.
Furthermore, the article explores the challenges associated with data privacy, cybersecurity, and the shortage of skilled professionals, while highlighting future opportunities for sustainable economic development through advanced analytical technologies. The findings indicate that the effective implementation of Data Science technologies has become essential for governments, businesses, and international organizations seeking long-term economic growth, innovation, and resilience in the digital economy.
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