Data driven sustainability harnessing technology (16 résultats)

HRD. Etat : New. New Book. Shipped from UK. Established seller since 2000.

Etat : New.

Hardback. Etat : New. This book provides a timely and insightful exploration of how emerging digital technologies can be leveraged to achieve sustainability and build environmental resilience in the face of escalating global challenges. It offers readers a practical and theoretical foundation for understanding data-driven sustainability, a concept that refers to the integration of advanced data tools-such as artificial intelligence, big data analytics, Internet of Things (IoT), and blockchain-into environmental planning, policy, and operations. With climate change, biodiversity loss, pollution, and resource scarcity accelerating at an alarming pace, traditional approaches to sustainability are proving inadequate. The need for real-time data, predictive analytics, intelligent automation, and transparent monitoring has never been more urgent. This book addresses that critical need by illustrating how data-centric technologies can help bridge the gap between sustainability ambitions and tangible action. It explores how big data can transform environmental intelligence, enabling governments, businesses, and communities to track environmental performance in real time, anticipate risks, and intervene proactively. Artificial intelligence is examined as a powerful tool for optimizing resource use, modeling climate scenarios, enabling smart agriculture, and enhancing energy efficiency through learning algorithms and pattern recognition.…

Etat : New.

Buch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This book provides a timely and insightful exploration of how emerging digital technologies can be leveraged to achieve sustainability and build environmental resilience in the face of escalating global challenges. It offers readers a practical and theoretical foundation for understandingdata-driven sustainability, a concept that refers to the integration of advanceddatatools such as artificial intelligence, bigdataanalytics, Internet of Things (IoT), and blockchain into environmental planning, policy, and operations. With climate change, biodiversity loss, pollution, and resource scarcity accelerating at an alarming pace, traditional approaches to sustainability are proving inadequate. The need for real-timedata, predictive analytics, intelligent automation, and transparent monitoring has never been more urgent. This book addresses that critical need by illustrating howdata-centric technologies can help bridge the gap between sustainability ambitions and tangible action. It explores how bigdata can transform environmental intelligence, enabling governments, businesses, and communities to track environmental performance in real time, anticipate risks, and intervene proactively. Artificial intelligence is examined as a powerful tool for optimizing resource use, modeling climate scenarios, enabling smart agriculture, and enhancing energy efficiency through learning algorithms and pattern recognition.…

Etat : New.

Hardcover. Etat : Brand New. 479 pages. 6.14x1.06x9.21 inches. In Stock.

Hardback. Etat : New. This book provides a timely and insightful exploration of how emerging digital technologies can be leveraged to achieve sustainability and build environmental resilience in the face of escalating global challenges. It offers readers a practical and theoretical foundation for understanding data-driven sustainability, a concept that refers to the integration of advanced data tools-such as artificial intelligence, big data analytics, Internet of Things (IoT), and blockchain-into environmental planning, policy, and operations. With climate change, biodiversity loss, pollution, and resource scarcity accelerating at an alarming pace, traditional approaches to sustainability are proving inadequate. The need for real-time data, predictive analytics, intelligent automation, and transparent monitoring has never been more urgent. This book addresses that critical need by illustrating how data-centric technologies can help bridge the gap between sustainability ambitions and tangible action. It explores how big data can transform environmental intelligence, enabling governments, businesses, and communities to track environmental performance in real time, anticipate risks, and intervene proactively. Artificial intelligence is examined as a powerful tool for optimizing resource use, modeling climate scenarios, enabling smart agriculture, and enhancing energy efficiency through learning algorithms and pattern recognition.…

Etat : new. Questo è un articolo print on demand.

Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book provides a timely and insightful exploration of how emerging digital technologies can be leveraged to achieve sustainability and build environmental resilience in the face of escalating global challenges. It offers readers a practical and theoretical foundation for understandingdata-driven sustainability, a concept that refers to the integration of advanceddatatools such as artificial intelligence, bigdataanalytics, Internet of Things (IoT), and blockchain into environmental planning, policy, and operations. With climate change, biodiversity loss, pollution, and resource scarcity accelerating at an alarming pace, traditional approaches to sustainability are proving inadequate. The need for real-timedata, predictive analytics, intelligent automation, and transparent monitoring has never been more urgent. This book addresses that critical need by illustrating howdata-centric technologies can help bridge the gap between sustainability ambitions and tangible action. It explores how bigdata can transform environmental intelligence, enabling governments, businesses, and communities to track environmental performance in real time, anticipate risks, and intervene proactively. Artificial intelligence is examined as a powerful tool for optimizing resource use, modeling climate scenarios, enabling smart agriculture, and enhancing energy efficiency through learning algorithms and pattern recognition. 456 pp. Englisch.…

Hardcover. Etat : Brand New. 479 pages. 6.14x1.06x9.21 inches. In Stock. This item is printed on demand.

Buch. Etat : Neu. Data-Driven Sustainability: Harnessing Technology for A Greener Future and Environmental Resilience | Rubee Singh (u. a.) | Buch | World Sustainability Series | xxiii | Englisch | 2026 | Springer | EAN 9783032134110 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand. …

Buch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book provides a timely and insightful exploration of how emerging digital technologies can be leveraged to achieve sustainability and build environmental resilience in the face of escalating global challenges. It offers readers a practical and theoretical foundation for understandingdata-driven sustainability, a concept that refers to the integration of advanceddatatoolssuch as artificial intelligence, bigdataanalytics, Internet of Things (IoT), and blockchaininto environmental planning, policy, and operations. With climate change, biodiversity loss, pollution, and resource scarcity accelerating at an alarming pace, traditional approaches to sustainability are proving inadequate. The need for real-timedata, predictive analytics, intelligent automation, and transparent monitoring has never been more urgent. This book addresses that critical need by illustrating howdata-centric technologies can help bridge the gap between sustainability ambitions and tangible action. It explores how bigdata can transform environmental intelligence, enabling governments, businesses, and communities to track environmental performance in real time, anticipate risks, and intervene proactively. Artificial intelligence is examined as a powerful tool for optimizing resource use, modeling climate scenarios, enabling smart agriculture, and enhancing energy efficiency through learning algorithms and pattern recognition.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 480 pp. Englisch.…

Hardcover. Etat : new. Hardcover. This book provides a timely and insightful exploration of how emerging digital technologies can be leveraged to achieve sustainability and build environmental resilience in the face of escalating global challenges. It offers readers a practical and theoretical foundation for understanding data-driven sustainability, a concept that refers to the integration of advanced data toolssuch as artificial intelligence, big data analytics, Internet of Things (IoT), and blockchaininto environmental planning, policy, and operations. With climate change, biodiversity loss, pollution, and resource scarcity accelerating at an alarming pace, traditional approaches to sustainability are proving inadequate. The need for real-time data, predictive analytics, intelligent automation, and transparent monitoring has never been more urgent. This book addresses that critical need by illustrating how data-centric technologies can help bridge the gap between sustainability ambitions and tangible action. It explores how big data can transform environmental intelligence, enabling governments, businesses, and communities to track environmental performance in real time, anticipate risks, and intervene proactively. Artificial intelligence is examined as a powerful tool for optimizing resource use, modeling climate scenarios, enabling smart agriculture, and enhancing energy efficiency through learning algorithms and pattern recognition. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Etat : New. Print on Demand.

Etat : New. PRINT ON DEMAND.