INNOVATIVE APPROACHES TO NATURAL DISASTER MANAGEMENT: THE ROLE OF AI AND IoT

The aim of this paper is to represent the innovative approaches to the natural disaster management, emphasizing the role of Artificial Intelligence (AI) and the Internet of Things (IoT) in transformation of natural disaster management based on predictive solutions. The paper highlights the improvements in real-time monitoring, early warning systems, and predictive accuracy for natural disasters. The integration of AI and the IoT has revolutionized natural disaster management and prediction. AI algorithms analyze datasets from IoT sensors deployed in vulnerable areas, enabling real-time monitoring and early warning systems. These technologies enhance predictive accuracy for disasters. Machine learning models process historical and real-time data to identify patterns and forecast events with unprecedented precision. This synergy improves emergency response, minimizes casualties, and mitigates economic losses. Possible challenges in implementation of innovative approaches to Natural Disaster Management based on AI and IoT include ensuring data security, managing the high volume of data, and integrating AI-IoT systems into existing infrastructure. The innovative approaches to Natural Disaster Management leads to optimized resource allocation, minimized economic losses, and support of efficient recovery efforts. By integrating these advanced technologies, businesses and economic systems can achieve a competitive advantage, ensuring stability and sustainability in the face of increasing global challenges.