City’s water systems are experiencing the pressure of growing populations, shrinking budgets, climate change, and aging infrastructure. These factors present
utilities with the urban water cycle trilemma: investing capital to maintain or expand infrastructure, doing business as usual to maintain its level of service, and doing all this affordably.
This talk will show how utilities are using machine learning and internet of things to solve the urban water cycle trilemma by disrupting the status quo. Data intensive solutions are being used to adapt water infrastructure in real time to provide citizens with higher levels of service while reducing energy and chemical consumption in treatment plants, reducing storm related flooding and overflows, and increasing drinking water quality.

Luis is the CTO and President of EmNet. Luis founded EmNet to study and develop solutions to optimize the operation of complex wastewater collection systems. EmNet’s Real Time Decision Support System technology helps utilities maximize the use of existing and future infrastructure to reduce combined sewer overflows volumes and frequencies.