Overview

This book introduces the Kumar-de Brabandt AI Data Economy Model, a robust framework designed for organizations embarking on AI-driven business transformation. It emphasizes how democratizing access to data and implementing effective monetization mechanisms can empower companies to harness data, Agentic AI, and other advanced AI capabilities while maintaining ethical standards. At its core, the model fosters a culture of data-driven innovation, guiding organizations toward sustainable competitive advantage. Drawing on real-world best practices and case studies, the authors explore domain-based data management and the emergence of data marketplaces, as well as the transformative potential of generative AI, Agentic AI, and ethical AI in modern business contexts. The book's interdisciplinary approach unites technical, economic, legal, and ethical perspectives to present a holistic view of the data economy. Readers will benefit from practical insights into developing business models that align AI with organizational strategy and governance. The framework clearly shows how companies can evolve toward data mesh architectures and marketplaces while safeguarding privacy and fairness. Whether you're a decision-maker, data strategist, or innovation leader, this book equips you with actionable strategies to operationalize a data-centric business transformation. It showcases how to transition from traditional hierarchical data silos to democratized data ecosystems that fuel next-generation AI applications-while embedding ethical oversight at every stage. Overall, it positions the data economy, underpinned by AI democratization, monetization, and Agentic AI, as a core pillar of future-ready enterprises.

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