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.

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.