Cloud Computing for AI-enhanced Smart City Infrastructure Management

Authors

  • Snehil Pandey * School of Computer Science Engineering, KIIT University, Bhubaneswar, India.

DOI:

https://doi.org/10.22105/siot.v1i3.253

Keywords:

Smart cities, Artificial intelligence, Sustainability, Big data, Cloud infrastructure, Urban computing and intelligence, Digital twin

Abstract

The swift advancement of smart cities relies on the integration of cutting-edge technologies like AI and cloud computing, emphasizing a commitment to data-centric strategies and sustainable methods. These technologies improve infrastructure management and align with the overarching objectives of sustainable urban growth. Cloud computing provides the necessary scalability and flexibility for data storage and processing, while AI allows for predictive analytics and informed decision-making based on data. This collaboration is evident in various applications, ranging from intelligent transportation systems to ecological monitoring. It has the potential to enhance urban services and the well-being of residents. Nonetheless, it is crucial for these technologies to address potential challenges and risks, particularly those related to privacy and ethical considerations. This direction thus paves the way for research and development toward a smart, sustainable, and citizen-focused city of the future.

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Published

2024-11-12

How to Cite

Pandey *, S. . (2024). Cloud Computing for AI-enhanced Smart City Infrastructure Management. Smart Internet of Things, 1(3), 213-225. https://doi.org/10.22105/siot.v1i3.253

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