UTILITY MANAGEMENT SOLUTIONS
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Droughts hit utilities and agriculture hardest. Shrinking water supplies wilt crops and strain water providers. But the impact extends far beyond them.
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The digital transformation of utilities is necessary and inevitable but also innately vulnerable to bad actors. It's time to discuss prioritizing cybersecurity.
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With the right help, coping with workforce upheaval, the digital transition, and asset management can be an opportunity.
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The full potential of smart water infrastructure is within reach — if our digital systems work together and share critical data.
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Pumps are power-hungry and thus expensive to run, but San Jose Water shows how data-driven technologies and strategies can bring the cost down for utilities.
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Artificial intelligence systems are thirsty, consuming as much as 500 milliliters of water — a single-serving water bottle — for each short conversation a user has with the GPT-3 version of OpenAI’s ChatGPT system. They use roughly the same amount of water to draft a 100-word email message.
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Researchers warn that California and other states affected by megadroughts — periods of drought lasting 20+ years — will have to accept this as the new normal. That means rethinking the water cycle and finding new, more sustainable water sources.
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Traditional analog devices are increasingly being replaced by digital solutions, and communication protocols like CANopen are playing a key role in this transition. This shift calls for engineers to assess whether digital pressure transmitters are the best fit for their specific applications.
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When evaluating how to best prepare a city for climate threats, consider lessons from past extreme weather events and evaluate how to apply these lessons to infrastructure challenges. Coastal cities can act now to protect their infrastructure against future risks.
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The state of America’s crumbling infrastructure continues to be a perennial concern as the scale of the problem continually outpaces both the funding and the human resources needed to solve it. Engineers have the solution — AI systems that offer unprecedented speed and potential cost savings — but to leverage its full potential, engineers need to take on a new role — and potentially a new business model.