Future Trends of Artificial Intelligence, Machine Learning and IoT in Climate Resilience and Disaster Management

This chapter discusses how Artificial Intelligence, Machine Learning, and Internet of Things are transforming climate resilience and disaster management through real-time monitoring, predictive analytics, and smart resource management. These technologies improve disaster forecasting, early warning systems, post-disaster recovery, and the development of climate-resilient infrastructure and autonomous systems. The chapter also highlights challenges such as data integration, ethical issues, and scalability, especially in developing regions. Overall, it emphasizes that the integration of AI, ML, and IoT can create more proactive, efficient, and sustainable strategies to address climate change and disaster-related risks.