This track Focus the transformative role of Artificial Intelligence (AI) in shaping the future of Saudi Arabia’s water sector. With rising water demand, limited natural resources, and ambitious sustainability goals, AI stands as a critical enabler of efficiency, security, and system resilience across the sector.

The track addresses major challenges within the sector, such as aging infrastructure, operational inefficiencies, and the need to meet strict water quality standards. AI offers potential solutions by enabling predictive maintenance, real-time data analysis, and adaptive control of treatment facilities—ensuring smarter operations and early detection of issues.

Through this lens, AI supports major improvements in energy efficiency, demand forecasting, and sustainable water practices. Machine learning tools also enhance the ability to manage consumption across the network and balance water loads in real time.

The track also highlights major opportunities for investors and innovators to contribute to AI integration—through predictive platforms, smart monitoring systems, and digital tools that support sustainable, high-quality water service delivery. As Saudi Arabia advances its goals for water security and environmental responsibility, AI is emerging as a foundational component of the future water landscape.