Abstract
This
article proposes the implementation of Artificial Intelligence (AI) algorithms
in the management of Brazilian intermunicipal water and sewage service
consortia, utilizing coordinated and strategic programming in Python. The
primary significance of this approach lies in its ability to enhance
decision-making processes and offer well-informed and precise guidelines for
intermunicipal management. Within this context, the theoretical foundations of
intermunicipal consortia and AI are thoroughly explored, providing the basis
for this qualitative study with both descriptive and propositional features.
The study's results demonstrate that the utilization of AI in managing
intermunicipal consortia presents a promising and innovative approach. It
exhibits potential in optimizing processes, improving operational efficiency,
reducing costs, and enhancing the quality of services provided to the
population in areas such as data consumption analysis, leak monitoring, water
quality control, and demand forecasting. For future research, it is recommended
to investigate the economic feasibility, assess social and environmental
impacts, and consider the ethical and legal aspects associated with the use of
AI techniques. Additionally, the integration of emerging technologies such as
cloud computing, Internet of Things (IoT), and blockchain should be explored to
complement AI approaches.
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IJBMS by IPRPD is licensed under a Creative Commons Attribution 4.0 International License.