Impacto de la inteligencia artificial en la optimización de procesos y toma de decisiones empresariales
DOI:
https://doi.org/10.47185/27113760.v6n1.182Palabras clave:
Inteligencia artificial, Optimización de procesos, Toma de decisiones, Machine Learning, Big DataResumen
El estudio examina el impacto de la inteligencia artificial en la optimización de procesos y la toma de decisiones empresariales, destacando su papel en la transformación digital y la sostenibilidad. Se basa en una revisión sistemática de literatura siguiendo la metodología PRISMA, utilizando bases de datos como Scopus. Los hallazgos indican que la IA potencia la eficiencia operativa mediante machine learning, Big Data y otras tecnologías avanzadas, permitiendo la automatización, el análisis predictivo y la mejora en la gestión del conocimiento. Además, se observa un crecimiento exponencial en la investigación académica sobre IA, impulsado por su aplicación en sectores clave como la manufactura, el comercio minorista, la industria farmacéutica y financiera. Sin embargo, su implementación plantea desafíos en gobernanza, calidad de los datos y ética en la toma de decisiones, lo que resalta la necesidad de desarrollar marcos regulatorios que garanticen su uso responsable. En conclusión, la inteligencia artificial se ha consolidado como una herramienta estratégica para la optimización de procesos y la toma de decisiones empresariales, generando beneficios tangibles en eficiencia y sostenibilidad, aunque requiere enfoques estructurados para su integración efectiva.
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Derechos de autor 2025 Yun Miyata, Sebastian Montoya
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