AI Driven Data Supply Chain: From Data Chaos to Intelligent Value Chains: AfricaTECH Book Series
Autor Rahul Mathuren Limba Engleză Paperback – 4 dec 2026
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.
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Specificații
ISBN-13: 9781041132196
ISBN-10: 1041132190
Pagini: 232
Ilustrații: 98
Dimensiuni: 156 x 234 mm
Ediția:1
Editura: CRC Press
Colecția CRC Press
Seria AfricaTECH Book Series
ISBN-10: 1041132190
Pagini: 232
Ilustrații: 98
Dimensiuni: 156 x 234 mm
Ediția:1
Editura: CRC Press
Colecția CRC Press
Seria AfricaTECH Book Series
Public țintă
Academic and Professional ReferenceCuprins
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
Notă biografică
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.
Driven by a builder's mindset, Rahul is deeply interested in exploring new technologies, integrating diverse capabilities, and creating intelligent solutions that unlock organizational value. His work combines strategic thinking with hands-on execution, helping bridge the gap between technological innovation and business outcomes. He believes that the greatest breakthroughs occur when data, knowledge, and artificial intelligence are brought together 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.
AI-Driven Data Supply Chain reflects this belief and presents a vision for how organizations can transform data into a continuously learning, intelligent, and value-generating ecosystem.
Driven by a builder's mindset, Rahul is deeply interested in exploring new technologies, integrating diverse capabilities, and creating intelligent solutions that unlock organizational value. His work combines strategic thinking with hands-on execution, helping bridge the gap between technological innovation and business outcomes. He believes that the greatest breakthroughs occur when data, knowledge, and artificial intelligence are brought together 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.
AI-Driven Data Supply Chain reflects this belief and presents a vision for how organizations can transform data into a continuously learning, intelligent, and value-generating ecosystem.
Descriere
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.