For water utilities, AI is not about chatbots or image generation. It is about interpreting sensor signals from complex, buried infrastructure. This article explores how domain-specific machine learning trained on real network data can help detect emerging leaks, reduce false alarms and support earlier operational decisions.
Articles and technical commentary on leak-before-break monitoring, infrastructure analytics and sensing technologies for water networks.
Drawing on peer-reviewed research and operational experience.
