If the water sector wants to take a giant leap forward, so that it can anticipate and act upon water quality issues - rather than merely react - far more collaboration is needed to connect existing intelligence, instead of simply just gathering more and more data. Sensors continue to monitor reservoirs and rivers in real time, and environmental monitoring continues to expand, but according to Kohtari, who specialise in predictive water intelligence, data is still far too fragmented. James Sumsion, Kohtari's CEO, commented: “Addressing the growing issue of agal blooms is a perfect example of the water industry being confined by the current system of accumulating multiple data sets, systems and organisations.” “Confirmation of an algal bloom typically arrives when a bloom has already escalated, forcing operators into costly, reactive decisions, with very limited visibility of what's coming next. The real value comes when that risk can be seen earlier, giving operators the chance to take proportionate action before a...
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