Water resource management faces increasing challenges due to rising demand, climate change, and pollution. Traditional approaches, while foundational, struggle to address the growing complexity of water distribution, conservation, and quality control. This paper explores the transformative integration of Internet of Things (IoT) and Artificial Intelligence (AI) technologies to revolutionize water management systems. IoT enables real-time data collection through smart sensors, providing continuous monitoring of water quality, flow rates, and consumption patterns. However, IoT alone is insufficient for fully optimizing resource management. AI plays a complementary role by analyzing large-scale data, predicting demand fluctuations, detecting leaks, and optimizing distribution strategies. Together, these technologies enable adaptive and intelligent water management, improving efficiency while minimizing waste. Despite their potential, challenges such as data security, interoperability, high infrastructure costs, and regulatory concerns must be addressed. This paper also highlights future research directions, including the development of advanced predictive models, standardized IoT frameworks, and ethical guidelines for data governance. The findings emphasize the crucial role of AI and IoT in creating sustainable, efficient, and resilient water management systems.