“Just as electric vehicles and AI-powered autonomous driving technology are disrupting the auto industry as we speak, Pluto AI hopes to disrupt the stagnant water treatment industry where over 2.1 trillion gallons of clean water is lost each year in the US alone.” – https://cleantechnica.com/2017/04/19/pluto-ai-transforms-wastewater-treatment/
Machine learning and artificial intelligence technology could be extremely useful in combating the constantly growing number of constituents of concern. Artificial intelligence as a developing technology can be paired with other technology such as sensors to give us real time monitoring of wastewater situations and constituents.
Significant decisions need to be made on the fly in response to real time data on water quality, this requires operators to analyse and predict, often based on experience and intuition. Consistently relying on these decisions could result in sub-optimal decisions under pressure. Causing significant losses from the lost time.
AI will continue to develop exponentially in coming years and see wide use in many industries. Low maintenance is required to maintain the systems and can be updated on a connected cloud server.
It’s easy to scale as it is often in the form of computer programs, AI continues to learn and update itself. Machine learning improves efficiency, reduces waste and energy consumption all while providing greater visibility of data.
AI doesn’t need to be used to develop solutions, it could be utilised broadly for other helpful means. AI allows for automated reporting of current issues as well as predictions or projections of what resources need refilling, or alert the operators of any other abnormalities.
wastewater thinking 