Global Leakage Summit 2022

July 4 – July 6, 2022  10:00 – 01:00 BST
Global Leakage Summit 2022

This year's Global Leakage Summit focuses on the topics of Managing leakage in a decade of challenges. Xylem are proud to be sponsors for the event and hosts of the pre-conference workshops with details as follows:

Digital Solutions Sponsor – Pre-conference Workshops - 4th July 2022

Session 1: Risk Management of critical assets: Case Studies from water utilities around the world with Eric Toffin, Global Product Manager for Inline Wall Inspection. This session looks at how utilities can be more strategic when looking at pipe renewal and rehabilitation projects. What information can be gained by taking a look underground?

Session 2: Metrology: Providing data that is fit for purpose with Adam Parsonage, Head of Account and Commercial - Sensus UK. Measuring customer usage is key to understanding what is happening within the network, and can provide key insights to water losses. How that data is measured, and what frequency it is transmitted and how reliable the transmission is will all play a key role in the benefits that this data can bring. Supported by the latest Water Company Case Study.

Session 3: Smart Water Networks: What data, where and when? With Pedro Pina, Senior Director - Decision Intelligence Solutions. This session looks at the 5 Vs of big data and how that applies to Smart Water Networks. Supported by the latest Water Company Case Study.

Main presentation, Day 2 - 6th July 2022

The system behind one of the most advanced smart networks in the UK.

  • Reducing the amount of water lost to leaks.
  • Predicting the likelihood of bursts on the network.
  • Digital Twin technology at scale
  • Providing data that delivers value to customers

Speakers: Damian Crawford, Head of Smart Networks & Leakage at Stantec and Martyn Hattersley, Head of Demand Management at Yorkshire Water

To book your place visit:

Unable to attend the event in person? You can live stream the event and access from anywhere in the world.