building data driven edge systems (11 résultats)

PAP. Etat : New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Etat : New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

HRD. Etat : New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

HRD. Etat : New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Paperback. Etat : new. Paperback. In today s digital economy, data-driven edge systems have become essential for businesses seeking agility and efficiency. Processing data closer to the source, organizations can achieve real time insights and improve decision making for these companies. These systems empower businesses to respond rapidly to market demands, optimize operations, and deliver personalized customer experiences. Building Data-Driven Edge Systems for Business Success provides comprehensive guidance for organizations implementing edge computing solutions to drive business value. It delves into the architecture, implementation strategies, and best practices that enable businesses to harness the power of edge intelligence, while addressing critical challenges in security, scalability, and resource optimization. Covering topics such as data analytics, computing principles, and innovation, this book is an excellent resource for data scientists, educators, students, researchers, academicians, business practitioners, and more. "This book explores the fundamental principles and practical implementations of data-driven edge systems, bridging the gap between theoretical concepts and real-world business applications. By bringing computation closer to data sources, organizations can achieve faster insights, reduced latency, and improved operational efficiency"-- Provided by publisher. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Hardcover. Etat : new. Hardcover. In today s digital economy, data-driven edge systems have become essential for businesses seeking agility and efficiency. Processing data closer to the source, organizations can achieve real time insights and improve decision making for these companies. These systems empower businesses to respond rapidly to market demands, optimize operations, and deliver personalized customer experiences. Building Data-Driven Edge Systems for Business Success provides comprehensive guidance for organizations implementing edge computing solutions to drive business value. It delves into the architecture, implementation strategies, and best practices that enable businesses to harness the power of edge intelligence, while addressing critical challenges in security, scalability, and resource optimization. Covering topics such as data analytics, computing principles, and innovation, this book is an excellent resource for data scientists, educators, students, researchers, academicians, business practitioners, and more. "This book explores the fundamental principles and practical implementations of data-driven edge systems, bridging the gap between theoretical concepts and real-world business applications. By bringing computation closer to data sources, organizations can achieve faster insights, reduced latency, and improved operational efficiency"-- Provided by publisher. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Taschenbuch. Etat : Neu. Building Data-Driven Edge Systems for Business Success | Minakshi (u. a.) | Taschenbuch | Englisch | 2025 | IGI Global | EAN 9798337311487 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.

Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In today s digital economy, data-driven edge systems have become essential for businesses seeking agility and efficiency. Processing data closer to the source, organizations can achieve real time insights and improve decision making for these companies. These systems empower businesses to respond rapidly to market demands, optimize operations, and deliver personalized customer experiences. Building Data-Driven Edge Systems for Business Success provides comprehensive guidance for organizations implementing edge computing solutions to drive business value. It delves into the architecture, implementation strategies, and best practices that enable businesses to harness the power of edge intelligence, while addressing critical challenges in security, scalability, and resource optimization. Covering topics such as data analytics, computing principles, and innovation, this book is an excellent resource for data scientists, educators, students, researchers, academicians, business practitioners, and more.

Buch. Etat : Neu. Building Data-Driven Edge Systems for Business Success | Minakshi (u. a.) | Buch | Englisch | 2025 | IGI Global | EAN 9798337311470 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.

Buch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In today s digital economy, data-driven edge systems have become essential for businesses seeking agility and efficiency. Processing data closer to the source, organizations can achieve real time insights and improve decision making for these companies. These systems empower businesses to respond rapidly to market demands, optimize operations, and deliver personalized customer experiences. Building Data-Driven Edge Systems for Business Success provides comprehensive guidance for organizations implementing edge computing solutions to drive business value. It delves into the architecture, implementation strategies, and best practices that enable businesses to harness the power of edge intelligence, while addressing critical challenges in security, scalability, and resource optimization. Covering topics such as data analytics, computing principles, and innovation, this book is an excellent resource for data scientists, educators, students, researchers, academicians, business practitioners, and more.

Etat : New. PRINT ON DEMAND.