AI Driven Data Supply Chain

From Data Chaos to Intelligent Value Chains
1. Auflage 2026
ISBN: 978-1-041-13219-6
Verlag: Taylor & Francis Ltd

Buch, Englisch, 232 Seiten, Format (B × H): 156 mm x 234 mm

Reihe: AfricaTECH Book Series

This book explores the transformation of data management through AI-driven solutions, emphasizing the critical role of an intelligent and adaptive data supply chain. It covers essential topics such as AI-powered data discovery, automated data pipelines, data governance, and real-time analytics. The book also examines practical applications, including cost optimization in cloud environments, security and privacy considerations, and real-world case studies.

Key features:

- Defines a new data foundation based on the concept of a data supply chain and bridges the gap between theory and implementation through AI-driven approaches.

- Promotes the development of a comprehensive Data and AI ecosystem.

- Presents a focused blend of theoretical concepts and practical applications, supported by hands-on examples and step-by-step frameworks.

- Focuses on AI-powered data lifecycle management, with automation and visibility at its core.

- Applies the shift-left principle by embedding Generative AI into data foundation practices, proposing and implementing innovative and improved methodologies.

This book is intended for data professionals, AI practitioners, IT managers, business analysts, senior executives, product managers, and academics specializing in data science and supply chain management.

Zielgruppe

Academic and Professional Reference

Autoren/Hrsg.

Mathur, Rahul

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion Informationsarchitektur
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Datenbankdesign & Datenbanktheorie
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Maschinelles Lernen

Inhaltsverzeichnis

1.Data Driven Decisions 2.Data Supply Chain 3.Data principles in a Heterogeneous System 4. Internal and External Dependencies 5. Building Ecosystem 6. Re-imagining Data Supply Chain 7. Transformers 8. Agentic AI 9. Gauging Supply Chain 10. Code with Human 11. Applied Data Supply Chain 12. Parallel Value Chains 13. Conclusion

Über Autor(innen)

Rahul Mathur is a technology leader, author, and AI practitioner with a passion for transforming complex ideas into practical business value. His work spans data, artificial intelligence, enterprise systems, and emerging technologies, with a particular focus on connecting people, processes, and technology to solve real-world challenges. Beyond his professional work, Rahul is passionate about teaching, mentoring, and sharing knowledge with the broader technology community. Through his blogs, and articles, he simplifies complex topics in data, artificial intelligence, enterprise architecture, and technology strategy, helping practitioners and leaders navigate an increasingly AI-driven world.