Musings on the unique blend of AI and water
3 ways AI will amalgamate humans and machines to…
The process manufacturing industry is experiencing a talent shortage that could potentially worsen with time if not proactively addressed. Faced with an aging population of workers, the manufacturing industry skills gap will only continue to widen if the industry as a whole does not do more to attract millennials and Generation Z. When good operators retire, they take all of their operational knowledge with them due to lack of digitized documentation. With careers spanning 30 to 40 years, these operators…
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Influent Flow Forecasting Made Easy
Like the wastewater industry, most food and beverage manufacturing facilities are equipped with massive data systems to monitor and optimize the wide range of operations. These similarly regulated industries are increasingly adopting Artificial Intelligence (A.I.) into their processes to better manage systems and procedures. Though many water industry professionals recognize the potential of A.I., the public health implications of delivering top-quality wastewater in addition to aged production infrastructure, municipal operators and engineers have not yet enjoyed the same benefits of…
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Four-Pronged Strategy For Asset Management In Water
When you look at the water treatment facilities, assets are very critical to their operations. These assets can be pumps, pipes, evaporators, chlorinators, and so on. Most of the inefficiencies like water leakage, monetary losses, or compliance related fines can be directly attributed to assets' performance. So why don't water facilities just replace the assets when they go down in efficiency? One of the biggest problems here is that assets are very expensive. Replacing them is not an option until…
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3 Reasons Why We Need Deep Learning For Water…
Over the past few years, the business world has seemed to enter a frenzy around buzzwords like “analytics,” “big data,” and “artificial intelligence.” There are two key elements to this phenomenon. First, the amount of data generated has exploded recently. Second, effective marketing schemes have created an “analytics” frenzy. In many cases, business and utilities don’t even know why they need or want hardware (sensors, meters) that will allow them to collect data every 15 seconds. Even when they do…
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