1st Edition
AI Driven Data Supply Chain From Data Chaos to Intelligent Value Chains
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
Biography
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.
