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Sustainable Business Models for Smart City Using Artificial Intelligence Techniques

Sustainable Business Models for Smart City Using Artificial Intelligence Techniques
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Author(s): M Mayuranathan (Department of Computer Science and Engineering, SRM Valliammai Engineering College, Chennai, India), Garima Nahar (Department of Computer Science, S.S.Jain Subodh P.G Mahila Mahavidalaya, Jaipur, India), A. Vijayakumar (Department of Civil Engineering, V.S.B. Engineering College, Karur, India), Naveen (Department of Computer Science and Engineering, G.L. Bajaj Institute of Technology and Management, Greater Noida, India), Udit Mamodiya (Faculty of Engineering and Technology, Poornima University, Jaipur, India)and D. Magesh Babu (Department of Mechatronics Engineering, Velammal Institute of Technology, Chennai, India)
Copyright: 2024
Pages: 32
Source title: Navigating the Circular Age of a Sustainable Digital Revolution
Source Author(s)/Editor(s): Umair Tanveer (University of Exeter, UK & Ho Chi Minh City University of Economics and Finance, Ho Chi Minh City, Vietnam), Shamaila Ishaq (University of Derby, UK), Truong Quang Huy (RMIT University, Vietnam)and Thinh Gia Hoang (RMIT University, Vietnam)
DOI: 10.4018/979-8-3693-2827-9.ch009

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Abstract

The integration of smart city initiatives and AI technologies presents significant opportunities for sustainable growth and innovation in urban development. This chapter explores the relationship between sustainable business models, smart cities, and AI techniques, highlighting their role in efficiency, resilience, and inclusivity. It analyzes case studies and industry insights to understand the challenges and opportunities of integrating AI into smart city infrastructures. It emphasizes the importance of ethical considerations, stakeholder engagement, and long-term planning in shaping sustainable urban futures. This chapter presents a framework for sustainable business models using AI to tackle urban challenges, promote economic prosperity, and promote environmental stewardship. It explores innovative data analytics, predictive modeling, and autonomous systems, demonstrating how these technologies can revolutionize urban governance, transportation, energy management, and public services.

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