Sponsorship & Exhibition Opportunities Now Available

Meet The Senior Decisions Makers With Job Titles Including:

  • Heads of Strategic Planning
  • Heads of Pressure Management         
  • Heads of Network Delivery
  • Heads of Network Operations
  • Heads of Network Optimisation
  • Heads of Demand Management and Planning
  • Heads of Network Management
  • Heads of Smart Networks / Projects
  • Heads of Innovation
  • Demand Forecasting and Demand Analysts Leads
  • Innovation Managers
  • Digitalisation Leads
  • A.I. Machine Learning Leads
  • Data Scientists
  • Data Analytic Specialists
  • Digital Strategy Leads
  • Heads of Asset Management
  • Heads of Asset Risk & Planning
  • Leakage Managers

Meet Leading Technology & Services Providers In:

  • Machine Learning Models
  • Real-Time Data Analytics, Data Loggers
  • Leak Detection Sensors, Pressure Loggers
  • Transient Loggers
  • Hydraulic Models
  • Flow Meters
  • Water Quality Probes
  • Smart Water Meters
  • Condition Monitoring
  • IoT & Edge Devices

Agenda Conference Day 2: Wednesday, April 28, 2021


08:30 BST   Virtual Event Platform Opens. Login & familiarize yourself with the platform features and introduce yourself to other participants.

08:50    Welcome From LBCG

Utilising A.I. & Machine-Learning To Detect & Prevent Leaks & Bursts

Transforming Accurate Leakage Data To Proactively Detect & Respond To Leakage Threats Earlier

Detecting and locating leaks remains one of the key challenges confronting water utility companies. In this opening section, we ask how the application of A.I & Machine-Learning can mitigate risks and  improve response times.


09:00    Implementing A.I. & Machine-Learning To More Accurately Detect & Pinpoint Bursts And Reduce Leakage Response Times

The earlier you find the leak, the more water you can save. How can A.I & machine-learning applications alert you to bursts to help you reduce leakage and maintain a high quality service for customers?

  • To what degree of accuracy can A.I. and machine learning applications detect and pinpoint leaks across the network?
  • To what extent can they better utilise existing data sets to improve leakage response times and drive down water loss?
  • What are the actual benefits for improving the overall service and maintaining a quality service?
  • Discover how are water utility companies are utilising these insights to respond to leaks and bursts quicker and so mitigate disruption to customers.

Neil Edwards, CTO, FIDO Tech

Hannah Wardle, Network Delivery Manager, United Utilities

09:25  Virtual Question & Answer Session


09:35    Evaluating The Tools Available To Identify Risks & Predict Future Leaks On The Network To Help Prevent Bursts Before They Occur

How can water utility companies improve their insights from data to accurately identify and prioritize risks on the water supply networks? We investigate the latest tools and technologies available.

  • With what success have companies implemented predictive analytics to anticipate and respond to potential leaks?
  • What tools and technologies are companies implementing and what have the impacts been on maintenance operations and spend?
  • What insights are such tools bringing and how are they insights being implemented to mitigate risks across the board?
  • How have such technologies impacted the need for emergency works and what were the associated cost savings?

Darren Coleman, Systems Performance Manager, Anglian Water

10:00        Virtual Question & Answer Session


10:15    Improving The Quality Of Flow Monitoring To Identify Abnormal Flow Patterns & Detect Leaks & Bursts

Fluctuating and season demand pattern shifts can make it difficult to separate real consumption from leaks on the network. We investigate the tools and technologies to combat this.

  • What are the flow-based leak detection systems available and how effective are they separating consumption fluctuations from leaks?
  • How can they improve your utilisation of historic data to identify leaks on the network in real-time?
  • How effective are they detecting and locating leaks during seasons of high demand?
  • What are the limitations of such devices and how can they be integrated with models to predict and mitigate against future risks?

Ruben Miguel Perena, Head of Innovation, Canal de Isabel II

10:40        Virtual Question & Answer Session

10:55        Morning Refreshment Break

>> Digital Innovation Showcase & Interview <<

During the refreshment break, we give delegates the opportunity to hear from and question some of the leading technology and services providers on some of the new technologies and digital innovations being  developed to solve some of the industry's most pressing challenges.


11:25 From Data Overload to Actionable Insights

In the following presentation we explore high resolution data for utilities to help them reduce leaks and bursts and extend asset lifetimes.  As utilities grapple with the cumulative impact of climate change, COVID-19 and regulation, their having easy access to filtered useful data is more important than ever.  Highlighting the work it is already doing with advanced event locating, filtered alerting and sophisticated clustering, Syrinix will be focusing not just on its development plans but on the actionable insights it is already providing to its utility partners across the globe.

Mark Hendy, VP, EMEA, Syrinix

Ben Smither, VP Engineering, Syrinix

11:50       Virtual Question and Answer Session

Real-Time Pressure Management

Investigating The Capabilities Of A.I. & Machine-Learning To Run A High Quality Service To Customers

Effective pressure management is integral to running a high quality service and mitigating against leaks. But with more pressure sensor data coming in than ever before, how can water utility companies exploit this data more effectively to calm the network and run a smooth, efficient service?


11:55    Discover The Optimal Way To Maximise Data To Pressure Manage The Entire Network To Reduce Leakage & Maintain High Quality Services

Meeting consumption targets means meeting regulating pressure to meet the service level required. How can companies optimise their pressure management systems to achieve this?

  • How can you mitigate against the risks of low pressure in various DMAs and ensure a consistent high quality service to customers?
  • How can you better utilise pressure logger data to extract insights about the network and ensure a smooth operation at all times?
  • Link the data coming in from pressure controllers to demand curves to accurately predict what action you need to take to calm the network.
  • Ensure you have the right pressure to meet the required service levels to meet the required demand in a given area.

Victor Silvestre, Water Supply Systems Director, Semasa

12:15        Virtual Question & Answer Session


12:25    Demonstrating How To Utilise Algorithms & A.I To Regulate & Adjust Pressure In Real-Time To Calm The Network Meet The Right Service Level

How can the latest SCADA advancements assist in monitoring pressure and calming the network to meet the right service level?

  • Investigate what algorithms are available for regulating valves and pressure.
  • How can these deliver cost-saving in operational expenditure and a reduction in the use of manpower?
  • What is the latest available technology that will help the water company in controlling this with intelligent, artificial intelligent monitoring?
  • How can algorithms help automate the pressure to deliver a reliable service level to customers across the network?

Rafael King U. Ramos, Head of Solutions Design Group, Maynilad Water

12:50        Virtual Question & Answer Session

13:00        Lunch Break

>> Digital Innovation Showcase & Interview <<

During the lunch break, we give delegates the opportunity to hear from and question some of the leading technology and services providers on some of the new technologies and digital innovations being  developed to solve some of the industry's most pressing challenges.


13:30    Multiphysics Modelling Of Water Pressure Regulating Valves For Remote Diagnostics

In the following presentation how to use CFD modelling of the valve and the benefits of this from a troubleshooting perspective.

  • How can you use measurements of upstream, downstream and control space pressure to interpret valve position and deviation from standard?
  • How can you narrow down possible problems when called in for maintenance?

Dr Matt Collins, Director of Product Development, Oxford Flow

Olivier Narbey, Senior Business Developer, Georg Fischer Piping Systems


14:00    Optimising Operational Performance by Reducing Leak-Related Costs

In 2019, Suez launched a strategic project called SPOT 2023 (Suez Performance Operational Transformation), aimed at significantly reducing our Operational Expenses by cultivating operational excellence, and leveraging innovation and digitalisation in all our activities. The ambition is high: reaching over 1 Billion € of annual OPEX savings by 2023.

In water distribution networks, a specific focus was brought on the OPEX linked with the leaks: focusing on a cost efficiency angle rather than purely technical performance point of view and leveraging optimisation tools with various technical levers such as advanced pressure management, active leakage detection and A.I.-based asset management, Suez is now on the path of achieving 10% reduction in operational costs generated by leaks.

In this session, we will present the general strategy adopted by Suez and some use cases illustrating the action plans defined and the technical levers activated. Typical levers used were:

  • Advanced pressure management: pressure regulation and modulation, high frequency sensors deployment, transients mitigation, to reduce apparition of leaks and leakage flowrate
  • AI-based failure prediction and global performance assessment and forecast to better orientate asset renewal and/or active leakage detection efforts

Aurelie Chazerain, Director Of The Centre Technique Distribution, SUEZ

14:25        Virtual Question & Answer Session

Ensuring High Quality Water For A High Quality Service

Harnessing Your Data To Optimise Water Quality & Condition Monitoring

Ensuring a quality and consistent service for customers rests upon the ability to see the true picture of what is happening on the network. We investigate the opportunities presented by recent digital innovation.


14:35    Practically Implementing A.I. To Improve The Utilisation Of Data From Smart Sensors & Telemetry Systems For Reliable Water Quality Management

Accurately pinpointing where issues are helps ensure water quality. How can machine-learning and A.I. be utilised to triangulate data sets and detect threats to water quality?

  • Discover which sensors are being deployed and how they are being balanced against other sensors to help detect issues.
  • How can you take the data from water quality probes and integrate it with other data sets to give an accurate assessment of risks?
  • How do you ensure that the data coming in is reliable and how do you utilise it effectively with machine-learning models?
  • How are water utility companies implementing this A.I to improve the utilisation of this data and what is the impact on their assessments of water quality?

Samantha Vince, Head of Water Quality, Bristol Water

15:00        Virtual Question & Answer Session

15:10        Afternoon Refreshment Break

>> Digital Innovation Showcase & Interview <<

During the refreshment break, we give delegates the opportunity to hear from and question some of the leading technology and services providers on some of the new technologies and digital innovations being  developed to solve some of the industry's most pressing challenges.


15:55    Driving Confidence In Implementing A.I For Enhanced Asset Condition Monitoring  Across The Network

How can A.I. be utilised to better monitor the condition of assets and alert companies to when remedial and maintenance is required on the network?

  • To what extent can A.I help give a true picture of the condition of assets?
  • How can A.I. assist in prioritising maintenance and remedial work required and what are the impacts on maintenance spend?
  • How can you better utilise data sets and parameters to more accurately monitor the condition of your assets?
  • What are the A.I. applications available to help you monitor your assets and how effective are they?
  • How can you integrate A.I. algorithms into existing models to augment those models and deliver a greater picture of the condition of assets?

Frank van der Kleij, Head of Asset Risk & Planning, Bristol Water

16:20        Virtual Question & Answer Session


16:30    Navigating the Capabilities of A.I. for Decision Making

The computational power of artificial intelligence is hard to ignore and it is encountered in many common day-to-day activities. When used properly, A.I. has the potential to find solutions to complex problems that would have otherwise been unattainable in an efficient or cost effective manner.  In many sectors it is proving that it is possible to find solutions to any complex problem. In the water industry A.I. technologies are gaining momentum; however, the focus sometimes drifts away from defining what is the problem A.I. is trying to solve.

To apply A.I. algorithms successfully in the decision making process, it is necessary to bridge the gap between strategic direction and performance aspirations at a high level, and people's enthusiasm for trying something new.

In this session, Optimatics and SUEZ will share examples and experience from an on-going development and long-term application of foundational A.I. technology capabilities in the water industry that are key to realising benefits from intelligent algorithms in decision making.

Our use cases will demonstrate the key benefits that A.I. can bring by devoting the resources and managing A.I. development and application in automation, optimal operation and long-term integrated planning (rather than solving isolated business problems) in:

  • Reduction in long term capital and operational expenditure
  • Improvements to performance and risk by better understanding customer impact and outage management
  • Reduction in time spent on data processing

Bojana Jankovic-Nisic, Director of Operations, SUEZ Smart & Environmental Solutions

16:55        Virtual Question & Answer Session

Delivering Benefits Across The Board

Implementing A Dynamic & Resilient Smart Water Network

In this end of conference panel, we draw together the key learnings and takeaways from the conference to crystalise the essential steps  required to implement a dynamic, smarter network.


17:05    Evaluating The Strategic Imperatives & Practical Steps & Takeaways From The Conference Required For The Implementation Of A Dynamic & Resilient Smart Water Network

What are the key challenges to overcome in implementing a smarter network and how are companies going to implement the learnings from the conference to achieve these outcomes?

  • What are the strategic imperatives moving forward and how are companies going to meet these in the long-term?
  • What are the key learnings on how to better execute the utilisation of data and how can these continue to improve?
  • What approaches are companies taking to implementing new A.I & machine-learning technologies?
  • What are the key takeaways from how companies are utilising their data to meet their key priorities going forward?
  • In what areas does further research and development need to take place in order for companies to better meet these challenges?

Victoria Edwards, CEO, FIDO Tech

Frank Van Der Kleij, Head of Asset Risk & Planning, Bristol Water

Morgan McCarthy, Head of Data Analytics, Southern Water

Doug Spencer, Head of Smart Metering, Anglian Water

17:30        Virtual Question & Answer Session

17:45        Chair's Closing Remarks & End Of Conference


Discover Real-World Digital Innovation Success Stories


  • Making Good Use Of Data For A.I. & Machine Learning Applications
  • The Capabilities Of A.I. And Machine-Learning To Meet Demand Spikes
  • Implementing Machine-Learning To Analyse & Predict Customer Behaviour
  • Ensuring Accurate, Reliable Data At The Metering Stage
  • Transforming Metering Data To Accurately Predict & Manage Demand
  • Demand Data Utilisation To Intelligently Divert Water Resources
  • A.I. For Calibrating Hydraulic Model Parameters To Detect Abnormal Behaviour
  • Improving The Accuracy & Application Of Data Driven Intelligence
  • Better Utilise Sensor Data To Predict Potential Failures
  • Digital Twins To Predict Future Performance & Identify Future Failures
  • Communicate Data Analytics & Information To Frontline Technicians


  • A.I. & Machine-Learning To More Accurately Detect & Pinpoint Bursts
  • Identify Risks & Predict Future Leaks On The Network To Help Prevent Bursts
  • Improving The Quality Of Flow Monitoring To Identify Abnormal Flow Patterns
  • Delivering More Reliable & Accurate Data To Drive Down Water Loss
  • Maximise Data To Pressure Manage The Entire Network
  • Utilise Algorithms & A.I To Regulate & Adjust Pressure In Real-Time
  • Analytic Tools & Technologies To Improve The Execution Of Pressure Data
  • Utilising Data From Smart Sensors For Water Quality Management
  • Implementing A.I For Enhanced Asset Condition Monitoring
  • Further Streamline Logistical Processes & Overcome Network Disruption


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