Technologies and Applications for Big Data Value

This open-access book explores cutting-edge solutions and best practices for big data and data-driven AI applications in the data-driven economy. It provides an overview of the book's contents, which are divided into two parts: "Technologies and Methods" and "Processes and Applications." The first part focuses on enabling data value chains across sectors, while the second part showcases experience reports and lessons from real-world applications in domains such as health, law, finance, retail, manufacturing, mobility, and smart cities. The book is intended for undergraduate and postgraduate students, researchers, and practitioners interested in leveraging advanced methods to address real-world problems.

Format: Hardback
Length: 544 pages
Publication date: 29 April 2022
Publisher: Springer Nature Switzerland AG

This open-access book delves into innovative solutions and best practices for big data and data-driven AI applications in the data-driven economy. It serves as a comprehensive guide for understanding how technical challenges can be overcome to provide practical solutions to significant industrial sectors. The book begins with an introductory chapter that provides a comprehensive overview of the book, outlining the subsequent chapters' contributions to technology frameworks, which are fundamental components of the Big Data Value Public-Private Partnership and the upcoming Partnership on AI, Data, and Robotics. The remainder of the book is organized into two parts. The first part, "Technologies and Methods," encompasses horizontal contributions of technologies and methods that enable data value chains to be applied across various industries. The second part, "Processes and Applications," presents experience reports and lessons from utilizing big data and data-driven approaches in processes and applications. These chapters are co-authored by industry experts and cover domains such as health, law, finance, retail, manufacturing, mobility, and smart cities. Contributions originate from the Big Data Value Public-Private Partnership and the Big Data Value Association, which have served as the European data community's nucleus for bringing together businesses and leading researchers to harness the value of data for the benefit of society, business, science, and industry.

The book appeals to two primary audiences: undergraduate and postgraduate students and researchers in diverse fields, including big data, data science, data engineering, machine learning, and AI. Additionally, practitioners and industry experts involved in data-driven systems, software design, and deployment projects who are interested in leveraging these advanced technologies will find this book invaluable.

By exploring cutting-edge solutions and best practices, this book empowers readers to navigate the complexities of big data and data-driven AI applications, enabling them to make informed decisions and drive positive impact in the data-driven economy.

Weight: 1010g
Dimension: 235 x 155 (mm)
ISBN-13: 9783030783068
Edition number: 1st ed. 2022