Leveraging Cloud Data and AI for Evidence-based Public Policy Formulation in Smart Cities
Abstract
This research investigates the application of cloud computing and artificial intelligence to publicly accessible smart analytics systems for smart cities. Applying system design methodology, this study examines the impact of cloud data platforms together with AI models on the decision-making processes pertaining to urban governance. The results showcase improved data availability, real-time analytic capabilities, and insightful prediction concerning essential city governance functions. Evaluation of performance showed the model's superiority in executing the set objectives in comparison to the other approaches. This work emphasizes the importance of intelligent cloud technology in developing infrastructure policies for underdeveloped cities.
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