Growing urbanization has intensified the exploitation of natural resources, leading to the current climate crisis. One of the most exacerbating issues is extreme pressure on rivers and other water bodies. Traditional approaches to water management with laboratory methods are costly and time-consuming. However, with the emergence of the Internet of Things (IoT) and Artificial Intelligence (AI), natural water resources management seems to have a promising future. IoT exchanges real-time data and communicates the same within its interconnected devices, while AI handles and analyzes large amounts of data through machine learning (ML), deep learning, and expert systems. Integration of AI and IoT enables the collection of granular data and draws actionable insights through advanced analytics. IoT-supported sensors, water meters, and communication networks can monitor several quality parameters such as water levels, pressure, flow, and turbidity. Further, AI can be used to process data streams from IoT devices to offer anomaly detection, predictive maintenance, and optimised resource allocation. The present chapter attempts to outline how IoT and AI integration can be leveraged for water sustainability efforts. It explores emerging trends in freshwater resource conservation, while offering avenues for future research and policy development.