Revolutionizing the Public Works Value Chain through AI monitoring: Towards an understanding of Increased Productivity in Perú

Miranda-Hospinal O.; Valle-Cruz D.; Yrivarren-Lazo J.; Yula-Inca C.; Ronceros-Ponce K. · ACM International Conference Proceeding Series (2023) · DOI: 10.1145/3598469.3598550

Resumen

Artificial intelligence is an emerging technology that has begun to be adopted in different organizations and also in public works. This poster proposes to explore the challenges and opportunities of AI, in the productivity of public works through a global approach to exploratory questions, based on the adaptation of the instrument designed by Criado et al. The objective is to explore the potential of AI to monitor the increase in productivity in the public works value chain, which is nothing more than the project cycle. Through a survey aimed at engineers, architects, logisticians, experts, and arbitrators, related to public works, the document ends with some lessons and recommendations for researchers and professionals interested in the study area.

Instituciones: Universidad Nacional de Ingeniería