Alternate: Utilizing AI in Water Distribution And Stormwater Collection Analysis

Can AI and Machine Learning be applied to understanding water distribution and stormwater collection patterns, issues, predicative analysis, and decision-making? These areas will be discussed in the session plus how this technology can help utilities with cost control, rate determination, and increase customer satisfaction. An understanding of AI terminology will be discussed & AI, Machine Learning, Deep Learning, and Generative AI. How do these differ and how does each apply to the rapidly growing collection of data. How do utilities fit into this world and why is AI emerging to be a vital part of utility operations. The use of sensors to measure and gather data in our industry has become increasingly common in recent years, leading to a wealth of information that can be harnessed to improve operations, reduce costs, and enhance customer satisfaction. That data is often from disparate sources and not organized in a manner that supports analysis across software platforms. With the help of machine learning and artificial intelligence, this data can be organized, normalized, and analyzed to make more informed decisions, identify patterns, and create predictive models that can drive better outcomes. The session will delve into case studies that demonstrate the practical applications of this approach, as well as the challenges and opportunities that come with leveraging sensor data and AI in the utility industry. Attendees will gain a deeper understanding of the potential for artificial intelligence to drive innovation in the water and wastewater industry for utilities of all sizes. Discussion will include AI based decision management solutions that drive predictive and exception-based analysis of available data. This data collective includes SCADA, GIS, interval data, sensor data, weather, and other outside sources. What does AI bring to the utility that enhances and in some cases surpasses our human abilities?