Unleashing Artificial Intelligence on the Industrial Edge to Revolutionize SCADA Systems—Use Cases in the Water & Wastewater Industry

The need for real-time data analysis and increased automation via AI-driven decision-making creates numerous challenges. Traditional supervisory control and data acquisition (SCADA) systems enable condition monitoring, fault diagnostics, and predictive maintenance through the centralized monitoring, control, and deployment of basic analytics. However, they still need to evolve in this area in order to catch up with and avoid replacement by cloud/edge computing and advanced AI model systems. This application note will explain the importance of integrating legacy SCADA systems with AI, how to achieve this at the industrial edge, and provide examples from the Water & Wastewater industry.