AI and automation applied in different sectors: A systematic review

Vigo-Cancino J.; Vega-Solis E.; Díaz-Matienzo N.; Mendoza-Vasquez A.; Paico-Egúsquiza A.; Moreno-Ramos J. · Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology (2024) · DOI: 10.18687/leird2024.1.1.274

Resumen

In recent years, a more didactic and practical approach to AI and its automation applied in different sectors has emerged. This field of computing is transforming functionality in industries. In this context, the objective of this systematic review was to explore the integration of these technologies and evaluate their efficiency in different sectors, providing a solid basis for future studies, which will be of academic significance. As part of the study, a quantitative approach was designed, which thoroughly reviewed bibliographies corresponding to the PRISMA 2020 method and analyzed the Scopus database. This allowed the information exploration to be vast for a more exhaustive analysis. Subsequently, the systematic review included 44 publications compiled using inclusion and exclusion criteria, to be incorporated into the study. In summary, the content analysis provides an in-depth understanding of the integration and adoption of AI in various sectors, highlighting the capability and efficiency of these technologies, which bring new opportunities for innovation and technological advancement.

Instituciones: Universidad Tecnológica del Perú