To pursue and ensure the sustainable development of reliable water supply, K-water has developed IWRM to manage the entire water cycle from source to tap. The IWRM system enables operators to manage water resources more efficiently using realtime data of water-related characteristics such as rainfall, river flow, turbidity, etc. for entire basins.

This presentation discussed the driving factors towards Singapore's shift towards intelligent water management and some of the smart solutions and technologies that they are developing and deploying under the Smart PUB Roadmap.

This presentation discussed AI-powered smart water management solutions that help water suppliers predict water consumption, forecast concentration of chemicals, and detect bacteria in wastewater.

This presentation discussed how AI and Data Analytics with Smart Sensing helps improve critical main water failure prediction accuracy, water quality delivery, and reduce energy costs.

This 2-page document sets out opportunities, benefits and prerequisites for pursuing intelligent water management systems using AI and IOT, with use cases of successful city- wide application of such technologies from Singapore and Australia.

This report provides a technical summary of the content and lessons learned form a two-day conference (21-22 September, 2017) in Gyeongju, Republic of Korea, jointly organized and facilitated by ADB and G-Best Water Resources Centre, Korea.

The final workshop agenda, including each speaker, their presentation title, organization and role is appended. A final list of participants is appended including ADB project staff and Government counterpart staff from from Uzbekistan, Tajikistan, Pakistan, Sri Lanka and India.