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Jul 5
The global demand for clean water continues to outpace supply, creating an urgent need to address this critical challenge. AI has emerged as a powerful tool in the quest for smarter, more-efficient water management.
The data points below highlight the growing water crisis and demonstrate how AI-driven technologies can help conserve this most precious resource.
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By 2030, water demand will surpass the supply by 40%. This imbalance could lead to increased water-borne diseases, food shortages and social unrest.
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AI-enabled precision agriculture optimizes crop watering, fertilizing and spraying, using 25% less water and minimizing harmful runoff.
AI-adaptive fluid analysis and treatment systems reduce water pollution by using real-time monitoring to detect pollutants, automate remediation and optimize water treatment operations. Phoenix, Arizona, ran a pilot program using AI to monitor wastewater treatment and achieved 97% recycled water.
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Detecting leaks in vast underground pipes is challenging, but AI and IoT can monitor pressure and flow to detect leaks early. In just one example, AI helped avoid a water outage and saved the utility £7M.
8 Ways AI in Water Management Creates a Better Future
AI can deliver real solutions for global issues like increasing clean water supply.
Sand Technologies focuses on helping global communities and enterprises use AI to achieve meaningful outcomes.
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