Artificial Intelligence for Smart City Vision 2040 in Gulf Region
ISBN: 978-1-83608-293-4, eISBN: 978-1-83608-292-7
Publication date: 22 November 2024
Abstract
This chapter delves into the transformative potential of Artificial Intelligence (AI) in spearheading the smart city vision by 2040 in the Gulf Region. It emphasizes the integration of AI with smart city governance, strategy, and infrastructure, underlining the pivotal role AI plays in digital transformation. The discourse navigates through strategic areas such as the exploitation of Large Language Models for enhancing smart city services, the utilization of AI in analyzing social network content and crowdsourcing applications, and leveraging AI’s reasoning capabilities to bolster predictive analytics and smart city services innovation. The chapter also showcases how AI-driven innovation fosters the development of new markets and industries within the smart city ecosystem. Highlighting the Gulf Region’s strategic investment in human capital and technology, the authors present a vision where smart cities serve as hubs of sustainability, innovation, and economic growth. Through the lens of the Smart City GSUTI Framework, the narrative illustrates the comprehensive integration of governance, strategy, utilization frameworks, technologies, and infrastructural capabilities. This holistic approach ensures that AI not only enhances the quality of life and economic prosperity in the Gulf Region but also positions it as a global leader in smart city development. The chapter is a call to action for leveraging AI’s potential to transform the Gulf Region into a model for sustainable, innovative, and smart urban development by 2040.
Keywords
Citation
Lytras, M.D., Alkhaldi, A., Malik, S. and Serban, A.C. (2024), "Artificial Intelligence for Smart City Vision 2040 in Gulf Region", Lytras, M.D., Alkhaldi, A. and Malik, S. (Ed.) The Emerald Handbook of Smart Cities in the Gulf Region: Innovation, Development, Transformation, and Prosperity for Vision 2040, Emerald Publishing Limited, Leeds, pp. 515-525. https://doi.org/10.1108/978-1-83608-292-720241034
Publisher
:Emerald Publishing Limited
Copyright © 2025 Miltiadis D. Lytras, Afnan Alkhaldi, Sawsan Malik and Andreea Claudia Serban