Inteligencia Artificial Generativa y Comercio Internacional en el Análisis de Datos.

Abstract

Within the field of international trade, generative artificial intelligence (GAI) has become a useful and relevant resource as a programming assistant, facilitating the generation of Python code that, through specialized libraries, enables data processing, management, and analysis. Its application has enabled the identification of markets through information interpretation, facilitating the understanding and implementation of efficient international dynamics between countries. This article presents three key case studies in which GAI is used as a support tool for managing, understanding, and interpreting qualitative and quantitative data related to international trade. Subsequently, this information will allow for more precise decision-making, avoiding the use of assumptions and data from unofficial sources.