The Right Vantage Point: Choosing Where ML/AI Add Value in Water Infrastructure
April 29th, 2026
Time: 2:00 PM ET | 1:00 PM CT | 11:00 AM PT
Duration: 60 minutes
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Summary
Facing countless decisions each day, utility staff rarely have time to explore emerging technologies like AI and machine learning. In this webinar, Stantec’s Sandeep Sathyamoorthy and Erin Amoueyan will share how their research and partnership with utilities across North America is driving the development of scalable solutions that empower utility staff to make more informed decisions further in advance than ever before. From developing an influent flow forecaster with machine learning, to evolving methods of AI implementation in the water industry, Sandeep and Erin will outline a roadmap for innovative utilities of today and tomorrow.
Speakers
Sandeep Sathyamoorthy
Vice President, Director, Water Innovation and Technology
Stantec
Over the years, Sandeep has worked in various areas across the water industry in design, plant operations, lab-scale, pilot-scale, and full-scale research, academia, technology development, and consulting. He brings this experience to his role leading Water Innovation and Technology for Stantec’s Water group. Sandeep’s mission is to develop, support, and nurture leading-edge processes, technology, digital innovations, and applied research that drive the evolution of linear, vertical, and digital assets of our clients to address megatrend driven global challenges. He embraces novel applied technologies to enhance the delivery of complete solutions supported by our culture of bottom-up innovation to deliver a more future-proof, connected and integrated resource-balanced solutions.
Erin Amoueyan
Innovation Portfolio Manager, ML/AI Group Lead
Stantec
Erin Amoueyan is an Innovation Portfolio Manager with over 13 years of experience in water and wastewater engineering, including defining requirements, designing, implementing, and delivering complex projects. With a PhD in Environmental Engineering, she is experienced in applying statistical modeling, machine learning methods, and emerging technologies to develop practical, scalable solutions for real‑world water and wastewater challenges and to extract meaningful insights from data. Through her leadership, she helps teams translate AI and ML capabilities into solutions that advance the performance and resilience of water and wastewater systems.
