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Digital Transformation in Water: Supporting Water Conservation, Smart Water Management, Big Data, IoT, Cloud Platforms, and AI Solutions - Softcover
Inhaltsangabe
Digital transformation in water is reshaping how societies confront climate change, water scarcity, and the urgent need for sustainable infrastructure. This book explores how digital tools such as IoT, AI, cloud platforms, and big data analytics can improve water security, enhance efficiency, and build resilience for communities and ecosystems.
• Understand how digital transformation supports water conservation and improves efficiency in treatment, distribution, and wastewater management
• Explore the role of smart water management systems in reducing losses, monitoring quality, and optimizing operations
• Learn how big data and advanced analytics drive better forecasting, anomaly detection, and long-term planning
• Gain insight into IoT applications that connect sensors, pipelines, and customer interfaces across entire networks
• See how cloud platforms and data lakes create scalable solutions for integrating diverse water-related data
• Familiarize yourself with AI and machine learning applications that strengthen demand modeling and water quality monitoring
• Explore the importance of cybersecurity in protecting SCADA systems, IoT devices, and cloud infrastructures
• Understand how digital twins and predictive modeling enhance resilience to climate change and extreme weather
By linking digital transformation with water conservation, smart water management, and climate resilience, this book provides a practical foundation for professionals seeking to advance sustainability. It equips readers with the insights needed to align digital tools with environmental goals and to support innovation in building secure, efficient, and adaptive water systems worldwide.
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Digital Transformation in Water: Supporting Water Conservation, Smart Water Management, Big Data, IoT, Cloud Platforms, and AI Solutions
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Digital Transformation in Water
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Digital Transformation in Water
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PAP. Zustand: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Bestandsnummer des Verkäufers L0-9781991370976
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Digital Transformation in Water (Paperback)
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Paperback. Zustand: new. Paperback. Digital transformation in water is reshaping how societies confront climate change, water scarcity, and the urgent need for sustainable infrastructure. This book explores how digital tools such as IoT, AI, cloud platforms, and big data analytics can improve water security, enhance efficiency, and build resilience for communities and ecosystems. - Understand how digital transformation supports water conservation and improves efficiency in treatment, distribution, and wastewater management- Explore the role of smart water management systems in reducing losses, monitoring quality, and optimizing operations- Learn how big data and advanced analytics drive better forecasting, anomaly detection, and long-term planning- Gain insight into IoT applications that connect sensors, pipelines, and customer interfaces across entire networks- See how cloud platforms and data lakes create scalable solutions for integrating diverse water-related data- Familiarize yourself with AI and machine learning applications that strengthen demand modeling and water quality monitoring- Explore the importance of cybersecurity in protecting SCADA systems, IoT devices, and cloud infrastructures- Understand how digital twins and predictive modeling enhance resilience to climate change and extreme weather By linking digital transformation with water conservation, smart water management, and climate resilience, this book provides a practical foundation for professionals seeking to advance sustainability. It equips readers with the insights needed to align digital tools with environmental goals and to support innovation in building secure, efficient, and adaptive water systems worldwide. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Bestandsnummer des Verkäufers 9781991370976
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