Back to explore

Artificial Intelligence in Urban Water Systems

This webinar will explore the evolution of AI in water systems, from data-driven approaches and machine learning applications to recent advances in explainable and interpretable AI.

Co-organisers:
Provider Logo

IWA Digital Water India Subgroup

Programme Detail Getting from back end

Starts
Jul 09, 2026

Language

English

Duration:60 minutes

Start Time:

14:00 GMT+1

Format

Online

Member fee(LMIC): 00.00

Member fee: 00.00

Standard fee: 00.00

Description

The water sector is undergoing a rapid digital transformation driven by the increasing availability of sensors, smart meters, SCADA systems, and operational data. As utilities collect larger volumes of information, artificial intelligence (AI) has emerged as a powerful tool to support monitoring, forecasting, anomaly detection, asset management, and operational decision-making. However, the growing complexity of AI models has also raised important questions about transparency, trust, and practical adoption in utility environments.

This webinar will explore the evolution of AI in water systems, from data-driven approaches and machine learning applications to recent advances in explainable and interpretable AI. Speakers will present real-world examples and research developments that demonstrate how AI can improve the efficiency and resilience of water utilities while supporting informed decision-making. The session will also introduce emerging concepts in causal AI, discussing how future AI systems may move beyond prediction to provide deeper insights into system behavior and support more actionable decision-making. Together, these perspectives will offer a comprehensive overview of the opportunities, challenges, and future directions of AI in the water sector.

Target Audience

  • Water utility professionals
  • Engineers and technical specialists
  • Researchers and academics
  • Data scientists working in infrastructure
  • Utility managers and decision-makers

Learning Objectives

Following this session, participants will be able to:

  • Understand the basic concepts of artificial intelligence and its role in water systems
  • Identify common AI applications in water utilities and urban water management
  • Recognise the opportunities and challenges of using AI in the water sector
  • Explore how data-driven approaches can support operational decision-making
  • Discuss future trends in digital water technologies and smart water systems

Learning Format

Webinar Outcomes

  • Artificial intelligence has the potential to make water systems more efficient, resilient, and data-driven.
  • AI is becoming an important tool for monitoring, operations, and decision-making in water utilities.
  • Digital technologies can help utilities address challenges related to infrastructure, water losses, energy use, and system reliability.
  • Successful adoption of AI depends not only on technology, but also on data quality, transparency, and practical integration into utility workflows.
  • AI should be viewed as a tool to support professionals and improve water management, not replace human expertise.

Speakers/Panelist Details

Related IWA Specialist Groups

Information and Data analysis
Hydroinformatics (Joint IAHR/IWA)

The rationale and purpose of hydroinformatics is to develop a new relationship between the stakeholders and the users and suppliers of the systems: to offer the basis (systems) which supply useable results, the validity of which cannot be put in reasonable doubt by any of the stakeholders involved. We are only in the initial stages of this process. Hydroinformatics changes the way in which hydraulics, hydrology and water resources studies generally are applied in society. In order to achieve this, hydroinformatics places itself deliberately on the market for products and services in this area. Water is a commodity of high market value. So are information and the means to manage information. There are already specific means for the “ICT merchandising of goods” and these are currently oriented towards the management of water and connected resources in a project involving several major European hydraulics institutes. Hydroinformatics deals with these specific goods, this market and, increasingly, this specific way of marketing.

Hydroinformatics is a technology built around developments and applications of systems which are, for their users, objective systems. A tool is objective if the users are involved in its definition, if they can easily understand the results and use them, if they have the possibility to input their own hypotheses into the system and see the consequences - as well as to show these to other stakeholders. Thus, for example, a hydroinformatics system of managing agricultural pollution in a catchment basin demonstrates the consequences of different cultural practices. If the tool is objective, the stakeholders might criticise a hypothesis of cultural practice (hence policies) leading to undesirable results, but not the tool. Thus the tool creates a possibility of negotiation and trade-offs based on merit and not on irrational sentiments.

The systems with which we are concerned include not only physical, chemical and biological processes, but also social, including cultural, economic, political, sociological, legal and other such aspects. The hydroinformation correspondingly always works in a team, and may indeed create the sociotechnical means through which the team functions. A hydroinformatics system has to liaise with all these factors through the inclusion of its users. The users become part of the system.

Hydroinformatics is limited to aquatic environments, to water and all with which water interacts. It is a technology, not a science, and we know that technologies often change more rapidly than sciences. Meanwhile it gives to hydraulics and hydrology a chance of synergism with ICT and thus avoids the situation of being simple suppliers of solutions or modelling software to be encapsulated. Socially, such “simple” encapsulations might be disastrous to professionals and institutions in this field because, on the one hand, would not guarantee the scientific quality of the encapsulated material and, on the other hand, it may lead to the death of hydraulic and hydrological research, i.e. to ending all progress in our field. The social roles of hydroinformatics within IWA might thus be expressed as those of “proper encapsulation” and “creating a synergy between ICT and hydraulics and hydrology”.

In 2016 and onwards, our group will continue to contribute to and organize major international conferences and workshops on hydroinformatics around the world, will produce publications to achieve wide dissemination of shared experiences and new knowledge, and will aim to offer solutions, best practices, and roadmaps to hydroinformatics challenges faced in different parts of the world.