Quantifying the Impact of Artificial Intelligence/Machine Learning-Based Approaches to Utility Performance
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Associated Project
Project 5189: Quantifying the Impact of Artificial Intelligence/Machine Learning-Based Approaches to Utility PerformanceIn our rapidly digitizing world, digital transformation, driven by artificial intelligence (AI), is now essential for the viability, security, and sustainability of water and wastewater services. When enabled by strong data management AI offers unique capabilities to navigate water management complexities.
While challenges to AI adoption—including cost, data quality and integration, cybersecurity risks, and the need for new workforce skills—are real, they are not insurmountable. Therefore, the development and adoption of AI within the water sector is not merely a technological trend but a strategic imperative.
The "Water's AI Framework" (WRF 5189) project is conceived within this context, aiming to provide essential guidance to utilities, policymakers, and technology providers as they navigate the complexities and opportunities of integrating AI into the fabric of water management. The framework provides a structured approach for integrating AI and associated technologies to drive decision intelligence within multiple functions of water and wastewater utilities.
This webcast will disseminate the intermittent results of WRF project 5189. Key topics that will be discussed in this webcast include:
- State of AI in the water industry
- Lessons from case study interviews
- Overview of the Water’s AI Framework
- Ways to engage with the framework
Presenter:
Prabhu Chandrasekeran, Vice President, Intelligent Water National Practice Leader, Arcadis
Moderator:
Sydney Samples, Research Manager, The Water Research Foundation