Insufficient public and municipal investment represents a major challenge for the long-term management of urban water infrastructure. Utilities are challenged to develop efficient rehabilitation strategies to maintain levels of service and maximize the value of assets in the medium- and long-term, avoiding the ongoing deterioration of water and sewer networks. A promising area for utilities is the improvement of technical asset management, and in particular the use of modelling solutions to improve the efficiency of inspection and rehabilitation strategies.

This webinar will explore the potential for data-driven modelling and artificial intelligence (AI) to support asset management strategies for water and sewer networks. An overview will be provided of the AI tools available on the market for asset management, and key stakeholders will share their experiences on the applications for AI in asset management. Finally, the panel will present the need for ongoing and future research in this field to grasp the full potential of digitalization.

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