Synergizing Cloud Computing and AI for Next-Generation Smart Cities

Abstract

Modern societies have rapidly urbanized, which has led to the urgent need for sustainable, efficient and intelligent infrastructure. To overcome these issues, smart cities are striving to combine digital solutions to streamline city services, improve citizen experiences, and better manage resources. Cloud computing and artificial intelligence (AI) are among the most disruptive technologies that can make this vision possible. Cloud computing can offer scalable, flexible, and affordable frameworks to store and process large urban data, and AI can offer highly sophisticated capabilities in real-time analytics, decision-making and automation. This article discusses how cloud computing and AI can be synergistically integrated to enable the next generation of smart cities. It looks at the application of cloud-based AI in the optimization of transportation systems, energy management, healthcare services, and public safety, as well as discusses concerns related to data privacy, latency, and interoperability. The research identifies the potential of cloud-AI synergy to generate resilient, sustainable, and citizen-centric urban ecosystems by analyzing current research trends, implementation frameworks, and case studies. Ultimately, this work contributes to the understanding of how cloud computing and AI can collaboratively transform cities into more adaptive, efficient, and intelligent spaces for future generations.