SCADA & AUTOMATION RESOURCES
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Fieldwork is at the heart of infrastructure expansion and rehabilitation, as utilities, engineers, and contractors collaborate to build the systems and structures that treat and move water. The opportunity is great, but so are the challenges. Which is why new, digitally-enhanced tools are needed.
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The integration of IT and OT systems has unlocked significant benefits — from enhanced operational visibility to smarter decision-making — and reflects years of hard work and commitment to innovation. This progress is a foundation for the next phase: strengthening defenses in a rapidly changing threat landscape.
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If AI can inform decisions, can it also help execute them? For the water sector, this distinction is not just semantic; it is the difference between a digital assistant that takes notes and a digital operator that turns valves.
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Utilities need greater efficiency, lower costs, and more visibility. So, one would think the uptake for digital solutions would be smoother and faster. But it’s not. Why?
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Technology like advanced process control systems can streamline operations, create opportunities to lower costs and emissions, and ensure effluent quality meets the highest standards. Research also indicates that implementing an appropriate control strategy can help reduce N2O emissions.
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Water and wastewater utilities can get stuck in a cycle of upgrading their legacy operational technology systems. Here’s how to break that cycle.
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Engineers are turning to AI to cut weeks of work into hours and sharpen critical decisions.
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Across the water sector, the same question echoes through utilities and organizations: "We've completed a successful pilot, but now what?" While digital experimentation has become commonplace, the journey from pilot to practice remains challenging.
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The water sector, facing escalating demands and aging infrastructure, cannot afford to be left behind in the adoption of artificial intelligence (AI). Embracing AI is not just about efficiency; it's about ensuring future resilience and continued service delivery in a world increasingly reliant on intelligent systems.
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Water utilities are under mounting pressure to modernize aging infrastructure while keeping budgets under control, forcing owners and contractors to deliver reliable projects with leaner teams, tighter windows, and greater scrutiny. Hyper-detailed modeling is emerging as a critical solution for these challenges.