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Книга AI-Driven Business Transformation Milan Kumar

AI-Driven Business Transformation

Data Economy through Democratization and Monetization

Автор: Milan Kumar, Charlotte de Brabandt
Език: Английски език
Корици: С меки корици
Издател: Independently published
Наличност: Външен склад
Изпращаме след 14-21 дни
26.57 € 51.98 лв
This book introduces the Kumar-de Brabandt AI Data Economy Model, a robust framework designed for or...

Информация за книгата

Автор
Milan Kumar, Charlotte de Brabandt
Език
Английски език
Корици
Книга - С меки корици
Издадена
2025
страници
254
EAN
9798262927555
Enbook ID
50521760
Издател
Independently published
Теглоt
346
Размери
152 x 229 x 14

Пълно описание

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.