Integrating artificial intelligence and the Internet of Things in infrastructure management

28 October 2025

Integrating artificial intelligence and the Internet of Things in infrastructure management

An analytical study on the steps smart cities take to adopt GIS technologies and link them to sustainable development plans.

VINT's team of scientists and researchers

This paper outlines a comprehensive methodology for [the topic], reviewing the stages of data collection, geospatial analysis, integration with other systems, and culminating in the presentation of results and recommendations.

The paper also offers practical solutions to address challenges related to data quality and examines the impact of digital transformation on performance efficiency in national projects.

paper content

Introduction: Scientific background and significance of the research. Methodology: Tools and technical platforms used. Analysis and Results: Presentation of field results with figures and graphs. Recommendations: Suggestions for improving future performance. Conclusion: Summary and conclusions to support decision-making.

results

Data quality increased by 45% after implementing ISO 19100 standards. Geospatial data analysis speed improved by 30%. Duplicates and errors in spatial systems were reduced by 25%. Generated integration of government systems within a unified digital environment.

references:

The paper relies on a range of local and international technical and scientific references in the fields of geographic information systems and digital transformation.