Data-Driven Innovation for Intelligent Technology: Perspectives and Applications in ICT

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Hiram Ponce Jorge Brieva

Data-Driven Innovation for Intelligent Technology

Perspectives and Applications in ICT

Hiram Ponce, Jorge Brieva, Octavio Lozada-Flores , Lourdes Martínez-Villaseñor

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English

Springer International Publishing AG
17 April 2024

Databases; Artificial intelligence

Series: Studies in Big Data

Summary
Details

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.

Edited by: Hiram Ponce, Jorge Brieva, Octavio Lozada-Flores, Lourdes Martínez-Villaseñor, Ernesto Moya-Albor
Imprint: Springer International Publishing AG
Country of Publication: Switzerland
Edition: 2024 ed.
Volume: 148
Dimensions: Height: 235mm, Width: 155mm,
ISBN: 9783031542763
ISBN 10: 3031542762
Series: Studies in Big Data
Pages: 246
Publication Date: 17 April 2024
Audience: Professional and scholarly , Undergraduate
Format: Hardback
Publisher's Status: Active