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Engineering and Management of Data Science, Analytics, and AI/ML Projects

Foundations, Models, Frameworks, Architectures, Standards, Processes, Practices, Platforms and...

Manuel Mora Jorge Marx Gómez Fen Wang Hector A. Duran-Limon

$415.95   $332.78

Hardback

Forthcoming
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English
Springer Nature Switzerland AG
14 December 2025
This book presents a dual perspective on modern research and praxis on Data Science, Analytics, and AI/Machine Learning (DSA-AI/ML) system with small or big data. Consequently, potential readers—academics, researchers and practitioners interested in the systematic development and implementation of DSA-AI/ML systems—can be benefited with the high-quality conceptual and empirical research chapters focused on:

Foundations,  Development  Platforms, and Tools on Engineering and Management of DSA-AI/ML Projects:

DSA-AI/ML reference architectures. Data visualization principles for DSA-AI/ML. Federated Learning in large-scale DSA-AI/ML systems.

Achievements, Challenges, Trends, and Future Research Directions on DSA-AI/ML Projects:

Large multimodal model-based simulation game for DSA-AI/ML systems. Value stream analysis and design applied to DSA-AI/ML systems. Quality management 4.0 and AI for DSA-AI/ML systems.

Hence, this research-oriented co-edited book contributes to achieve the systematic development and implementation of Data Science, Analytics, and AI/ML systems.
Edited by:   , , ,
Imprint:   Springer Nature Switzerland AG
Country of Publication:   Switzerland
Dimensions:   Height: 235mm,  Width: 155mm, 
ISBN:   9783032068880
ISBN 10:   3032068886
Series:   Intelligent Systems Reference Library
Pages:   139
Publication Date:  
Audience:   College/higher education ,  Further / Higher Education
Format:   Hardback
Publisher's Status:   Forthcoming

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