The use of Big Data and Artificial Intelligence for International Business Development

Abstract

The article explores the ways artificial intelligence and big data technologies are applied in the development and management of international business. The aim of the study is to identify how AI tools and big data analytics influence the organization, strategic planning, and operational efficiency of transnational companies in the context of the digital transformation of the global economy. The study employed general scientific methods of cognition: analysis, synthesis, induction, deduction, comparison, generalization, and a systematic approach. The results show that the active integration of AI and big data technologies is significantly reshaping the approaches to conducting international business. In particular, it is concluded that these tools help optimize operational processes, boost productivity, improve strategic planning accuracy, and support the creation of innovative solutions in global management. It has been found that through the use of modern digital technologies, transnational corporations are able to respond quickly to shifts in the global market environment, predict consumer behavior, improve logistics processes, and enhance their overall competitiveness. The integration of AI and big data encompasses all key aspects of international business: from selecting markets and entry strategies to managing human resources, intercultural communication, sustainable development, and international marketing. A comprehensive digital ecosystem is being formed, bringing together various functional business subsystems and enabling sustainable growth, efficient resource management, and the expansion of international presence. The practical value of this research lies in its potential to inform the development of digital transformation strategies within the international business landscape.