You can start with a minimum of data. Modular and scalable, the WLM can work with SCADA data, then integrate measurements from water meters or other sensors.
What utilities need before using AI for leak detection at IFAT
At IFAT 2026, discover how data quality, data frequency, analytics, and AI work together to support faster leak detection and better water network operations.
What if AI could locate water leaks in just a few hours?
At IFAT 2026, discover how data quality, data frequency, analytics, and AI work together to support faster leak detection and better water network operations.
Why AI needs the right data first
AI can only deliver strong results if the right data foundation is already in place. Before AI becomes useful for leak detection, utilities need reliable data, the right level of frequency, and enough granularity to detect anomalies across the network.
This is the question that Jonas Porzelt, our leak detection expert, will answer on the German Water Partnership stand (Hall B2.227) on Thursday, 7 May, from 9:00 to 9:30 am.
-
How analytics and AI work together in leak detection
During this 30‑minute talk, Jonas will show how water analytics and high‑frequency data have transformed how utilities monitor the entire water distribution network from production to the connected meter.
He will explain what level of data quality, frequency, and granularity is required to enable advanced anomaly detection and high‑performance water leak detection AI.
The most striking example? Leak localization: what once took weeks can now be achieved in just a few hours with a well‑trained AI model and the right data pipeline.
How is this possible? What quantity and structure of data are essential for effective leak detection software?
Join us on 7 May to find out!
Meet the experts all week at IFAT
- Speaker: Jonas Porzelt
- Session: One hour to the leak: how AI transforms water network operations
- Location: German Water Partnership Speakers Corner, Hall B2.227
- Speakers Corner, Hall B.2.227
- Date and time: Thursday, 7 May, 9:00 to 9:30 am
This session is a good opportunity to understand what utilities need before using AI for leak detection, and how analytics and AI can support faster action on the network.
Continue to discuss with us on IFAT booth
Throughout the entire week of IFAT, Jonas Porzelt and his teammate Bledion Vladi will be available on our booth (C1.211) to demonstrate the efficiency of our WLM, Water Loss Management software and answer all your questions.
Come by and discover how AI-powered leak detection can transform your network operations.
FAQ
-
Do I need hourly data?
-
How much data is enough?
Basic data, such as Minimum Night Flow (MNF), can help detect leaks by zone. More in-depth information can be obtained from additional data such as pressure and GIS (Geographic Information System) or meter data.
-
What is needed before AI can detect anomalies as well?
To help AI accurately detect network anomalies, automatic remote reading will provide the necessary granularity and frequency.
-
How does this help teams act faster?
The early leak detection use advanced pattern recognition and machine learning to continuously monitor the network, spotting anomalies and detecting leaks with precision.
-
What can I discuss at IFAT?
At IFAT, you can discuss your specific challenges with our team of experts, test our software with realistic demos and discover our decision support services. Like CAMPUS training, for example.