Empowering Smart Cities Through IoT and AI: Enhancing Decision-Making for a Data-Driven Future

To make better decisions, Smart Cities have embraced IoT & AI. As an outcome of the combination of IoT devices, which collect & transmit huge sets of data, and AI approaches, which process & examine this information, organizations have gained real-time insights and information to drive better decisions. With IoT and AI, decision-making processes can be automated, for instance, in predictive maintenance and supply chain management, which can improve operational efficiency, personalize the customer experience, reduce energy consumption, and enhance security. In this paper, we have discussed the rapidly identifying trends, patterns, and potential issues, IoT and AI which have transformed the decision-making process in Smart Cities and is now considered a key tool in staying ahead in today's data-driven world. We have also proposed a model which can help enhance the security concerns in Smart Cities as there has been a significant impact of IoT and AI on decision-making. In the future, it will only become more critical as technology advances and more data is generated. Overall embracing both IoT and artificial intelligence will be well-positioned for success in the future. This review article will examine the part of IoT and AI in decision-making, its benefits and challenges, and its future angle.

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Published
2025-03-07
DOI
https://doi.org/10.1109/icdt63985.2025.10986562
Primary Topic
Traffic Prediction and Management Techniques
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article
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article

Empowering Smart Cities Through IoT and AI: Enhancing Decision-Making for a Data-Driven Future

Sheenam Naaz, Ihtiram Raza Khan, Safdar Tanweer, Suraiya Parveen
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Traffic Prediction and Management Techniques
article

Empowering Smart Cities Through IoT and AI: Enhancing Decision-Making for a Data-Driven Future

Sheenam Naaz, Ihtiram Raza Khan, Safdar Tanweer, Suraiya Parveen
article en

Abstract

To make better decisions, Smart Cities have embraced IoT & AI. As an outcome of the combination of IoT devices, which collect & transmit huge sets of data, and AI approaches, which process & examine this information, organizations have gained real-time insights and information to drive better decisions. With IoT and AI, decision-making processes can be automated, for instance, in predictive maintenance and supply chain management, which can improve operational efficiency, personalize the customer experience, reduce energy consumption, and enhance security. In this paper, we have discussed the rapidly identifying trends, patterns, and potential issues, IoT and AI which have transformed the decision-making process in Smart Cities and is now considered a key tool in staying ahead in today's data-driven world. We have also proposed a model which can help enhance the security concerns in Smart Cities as there has been a significant impact of IoT and AI on decision-making. In the future, it will only become more critical as technology advances and more data is generated. Overall embracing both IoT and artificial intelligence will be well-positioned for success in the future. This review article will examine the part of IoT and AI in decision-making, its benefits and challenges, and its future angle.

Jamia Hamdard (IN)
Openalex Percentile: Top 90%
Traffic Prediction and Management Techniques
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Empowering Smart Cities Through IoT and AI: Enhancing Decision-Making for a Data-Driven Future — Sheenam Naaz, Ihtiram Raza Khan, et al. · (2025) | TGRS Research Map | TGRS