Artificial Intelligence (AI) in the Water and Wastewater Sector Comprehensive Training

Artificial intelligence (AI) is rapidly changing how water and wastewater utilities operate, maintain assets, manage risk, and communicate with customers. This course focuses on the practical considerations, applications, and uses of AI tools in the water/wastewater sector. Participants will learn how to identify high-value use cases, assess data readiness, understand the technical building blocks (data pipelines, models, platforms, cybersecurity), and design a sustainable deployment approach that includes governance, change management, and legal/commercial considerations. Through real case studies (chemical optimization, collection system prediction, hybrid digital twins, and more), participants will leave with a practical understanding of AI in the water/wastewater sector and the ability to better evaluate and implement AI initiatives responsibly.

Learning Outcomes:

  • Identify and prioritize viable AI use cases for water and wastewater utilities.
  • Describe core Artificial Intelligence (AI) and Machine Learning (ML) concepts (regression, machine learning, agents) and how they map to utility problems.
  • Evaluate data readiness, including data quality, cleaning, and instrumentation monitoring.
  • Explain common utility data architectures (SCADA historian, databases, APIs) and data management practices.
  • Compare deployment approaches (advisory vs. control, dashboards vs. alerts) and define success metrics and utilization tracking.
  • Differentiate mechanistic, AI, and hybrid digital twin approaches and where each fits best.
  • Assess platform considerations such as portability, security, scaling, and support models.
  • Plan secure data connectivity options (air gaps, data diodes, read-only vs. write-back, on-prem vs. cloud) in coordination with IT/OT.
  • Develop a governance and change management plan to drive adoption, monitor performance, and sustain support.
  • Evaluate commercial models and quantify value (ROI, SaaS vs. consulting vs. capital) including procurement considerations.
  • Recognize key legal and ethical considerations (data ownership, IP, privacy, NDAs, and emerging AI policy).

Who Should Attend:

  • Water and wastewater engineers and consultants.
  • Water utility managers, supervisors, and O&M leaders.
  • Operations technology (OT) and information technology (IT) staff, including cybersecurity.
  • Data analysts, data scientists, and analytics teams supporting utilities.
  • Regulators and others evaluating or overseeing digital deployments.
Date
Format
ID
Fee
 
 Jun 9-11, 2026
Live Online
ID: E213
Fee: $1,895View Discounts