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:
Manuel Mora, Jorge Marx Gómez, Fen Wang, Hector A. Duran-Limon 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:14 December 2025 Audience:
College/higher education
,
Further / Higher Education
Format:Hardback Publisher's Status: Forthcoming