Data-Driven Innovation for Intelligent Technology: Perspectives and Applications in ICT (2024) (Studies in Big Data #148)

By: Hiram Ponce and Jorge Brieva and Octavio Lozada-Flores and Lourdes Martínez-Villaseñor and Ernesto Moya-Albor

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Synopsis: This book focuses on new perspectives and applications of data-driven innovation technologies, applied artificial intelligence, applied machine learning and deep learning, data science, and topics related to transforming data into value.It includes theory and use cases to help readers understand the basics of data-driven innovation and to highlight the applicability of the technologies. It emphasizes how the data lifecycle is applied in current technologies in different business domains and industries, such as advanced materials, healthcare and medicine, resource optimization, control and automation, among others.This book is useful for anyone interested in data-driven innovation for smart technologies, as well as those curious in implementing cutting-edge technologies to solve impactful artificial intelligence, data science, and related information technology and communication problems.

Book Quality:: Publisher Quality
ISBN-13:: 9783031542770
Related ISBNs:: 9783031542763
Publisher:: Springer Nature Switzerland
Date of Addition:: 05/18/24
Copyrighted By:: The Editor
Adult content:: No
Language:: English
Has Image Descriptions:: No
Categories:: Nonfiction, Computers and Internet, Technology, Mathematics and Statistics
Submitted By:: Bookshare Staff
Usage Restrictions:: This is a copyrighted book.
Edited by:: Hiram Ponce
Edited by:: Jorge Brieva
Edited by:: Octavio Lozada-Flores
Edited by:: Lourdes Martínez-Villaseñor
Edited by:: Ernesto Moya-Albor