AI Inference for Smart Cities Integrating IoT and Big Data
The 21 st century has increased the rate of urbanization, thus making the problems of traffic snarl up, pollution, energy crisis, improper waste disposal and heavy load on the social safety and health system more complex. The idea of the smart city became one of the new technologies that integrate Artificial Intelligence (AI), the Internet of Things (IoT), and Big Data in order to enhance the efficiency and quality of life in cities. In particular, AI inference enables real-time decision making based on data in major sectors. The examples of successful ones are such cities as Barcelona, Amsterdam, Chicago, Singapore, Los Angeles and Seoul. Other advantages of sustainability and disadvantages like privacy, cybersecurity, cost of infrastructure, and digital inequality are also discussed in the chapter.
| Year of publication: |
2026
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|---|---|
| Authors: | Muthupandi, G. ; Pavithra, S. ; Vikram, R. ; Jayakumar, K. ; Vishnu, B. ; Nandhakumar, R. |
| Published in: |
Harnessing AI Inference for Intelligent Decision-Making in Real-Time Dataflows. - IGI Global Scientific Publishing, ISBN 9798337370484. - 2026, p. 29-56
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