Artificial Intelligence data-driven support systems for Smart Cities

Smart cities face challenges like mobility, sustainability, energy management, and safety. AI addresses these by enabling data-driven decision support systems (DSS) that process data, identify patterns, and make real-time decisions. AI models urban environments to monitor air quality, mobility, and energy use, supporting better planning. It forecasts needs, simulates scenarios, and optimizes resources. AI tools like NLP and Explainable AI (XAI) improve transparency and efficiency in governance, helping cities adapt to evolving demands while enhancing resource use.