Digital transformation has changed how the water industry sees, interacts with, and controls water and wastewater systems. The digital transformation process started decades ago with data digitization. Once collected, data are organized into database systems that provide the data context (metadata), thus creating information out of data. Models (physics-based or data-driven) of a whole utility system or its components also have been used for decades as analytical tools that mimic the behavior of physical systems. The models process system information into knowledge about the system’s current and future behavior using deterministic and/or stochastic methods. Knowledge of system behavior is then used to support utility decision-making.