E3S Web of Conferences (Jan 2023)

Big Data, Artificial Intelligence and Smart Cities

  • Qurbonova Barchinoy,
  • Sulaymanova Sevarakhon,
  • Akhmedova Nazokat,
  • Yunusaliyev Muhammadqodir

DOI
https://doi.org/10.1051/e3sconf/202340203013
Journal volume & issue
Vol. 402
p. 03013

Abstract

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Cities are gradually relying on significant segments to handle problems with civilization, the environment, topography, and many other topics. This possibility is greatly aided by the burgeoning idea of “Green Infrastructure,” which fosters the integration of monitors and Big Data through the Internet of Things (IoT). In addition to improving employment future, this data explosion also opens up new opportunities for city planning and administration. Machine life big data processing may significantly improve the urban fabric, but ecology and livability factors shouldn’t be ignored in favour of technical ones. To comply with the Sustainability Goa and the New Urban Objectives, this paper analyses the urban AI’s potential and suggests a new feel great Artificial intelligence and metropolises while helping to ensure the incorporation of key facets of Culture, Insulin sensitivity, and Leadership. These aspects are known to be critical for the successful integration of Smart Cities. In order to improve the life quality of the urban fabric and foster job creation and opportunity, this document is directed at government officials, computer scientists, and engineering who are interested in strengthening the convergence of artificial intelligence and big data in smart cities.