|Title:||Technologies and applications for big data value|
|Authors:||Edward Curry, Author|
|Publisher:||[S.l.] : Cham, Switzerland : Springer, 2022|
|ISBN / ISSN / EAN :||978-3-030-78307-5|
|Size:||1 online resource (xxiv, 544 p.)|
|Bibliography note:||Open Access eBook.|
|Subjects:||Artificial intelligence ; Big data ; Data mining ; Knowledge based systems|
This open access book explores cutting-edge solutions and best practices for big data and data-driven AI applications for the data-driven economy. It provides the reader with a basis for understanding how technical issues can be overcome to offer real-world solutions to major industrial areas. The book starts with an introductory chapter that provides an overview of the book by positioning the following chapters in terms of their contributions to technology frameworks which are key elements of the Big Data Value Public-Private Partnership and the upcoming Partnership on AI, Data and Robotics. The remainder of the book is then arranged in two parts. The first part "Technologies and Methods" contains horizontal contributions of technologies and methods that enable data value chains to be applied in any sector. The second part "Processes and Applications" details experience reports and lessons from using big data and data-driven approaches in processes and applications.