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

Foundations, Models, Frameworks, Architectures, Standards, Processes, Practices, Platforms and Tools for Small and Big Data
Herausgegeben:Mora, Manuel; Marx Gómez, Jorge; Wang, Fen; Duran-Limon, Hector A.

• Gebundenes Buch

Produktbeschreibung

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.

Produktdetails

• Intelligent Systems Reference Library 282
• Verlag: Springer / Springer Nature Switzerland / Springer, Berlin
• Artikelnr. des Verlages: 89509406, 978-3-032-06888-0
• Seitenzahl: 154
• Erscheinungstermin: 5. Januar 2026
• Englisch
• Abmessung: 235mm x 155mm
• ISBN-13: 9783032068880
• ISBN-10: 3032068886
• Artikelnr.: 75256696

Inhaltsangabe

1.A Review of Main Non-Proprietary Domain- Independent Data Science Analytics AI/ML Reference Architectures a dual ISO/IEC/IEEE 42010 and IT Service Design Approach.- 2.Data Visualization in the Era of Data Science: a review.- 3.Requirements for using Federated Learning in Manufacturing Supply Chains.- 4.Large Multimodal Model-Based Simulation Game as a Socio-Technical System for Value Stream Analysis and Design.- 5.A Data-driven Clustering Approach for Assessing Service Performance of Brand Chains' Branches in the Food Service Industry Data Analytics Systems.- 6.Integrating Quality Management 4.0 with AI and Machine Learning.