Engineering and Management of Data Science, Analytics, and AI/ML Projects (eBook, PDF)

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

• Format: PDF

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.
  
  

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  Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.

Produktdetails

• Verlag: Springer International Publishing
• Seitenzahl: 139
• Erscheinungstermin: 15. November 2025
• Englisch
• ISBN-13: 9783032068897
• Artikelnr.: 75903910

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.