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The Data GridA Multidisciplinary Guide to Building the Soft Infrastructure of the AI Era\nAuthor(s): Zhongyuan Thomas Lee\nFormat: Paperback\nPublisher: Springer Nature Switzerland AG, Switzerland\nImprint: Springer Nature Switzerland AG\nISBN-13: 9783032250032, 978-3032250032\nSynopsis\nAs industries transition from the automation focus of Industry [url] to the humanAI collaboration of Industry [url] artificial intelligence stands at the forefront. Yet the lasting capability of intelligent systems is rooted in a deeper layer: robust data infrastructures. The Data Grid argues that AIs true scalability and reliability hinge not just on algorithms, but on stable, governed, and semantically structured data systems. Across industries, fragmented and inconsistent data foundations constrain AIs potential. By redefining data as infrastructure' imbued with stability, scalability, and lifecycle continuity, this volume establishes the structural foundation for sustainable intelligence.\n\nDraw.
The Data GridA Multidisciplinary Guide to Building the Soft Infrastructure of the AI Era\nAuthor(s): Zhongyuan Thomas Lee\nFormat: Paperback\nPublisher: Springer Nature Switzerland AG, Switzerland\nImprint: Springer Nature Switzerland AG\nISBN-13: 9783032250032, 978-3032250032\nSynopsis\nAs industries transition from the automation focus of Industry [url] to the humanAI collaboration of Industry [url] artificial intelligence stands at the forefront. Yet the lasting capability of intelligent systems is rooted in a deeper layer: robust data infrastructures. The Data Grid argues that AIs true scalability and reliability hinge not just on algorithms, but on stable, governed, and semantically structured data systems. Across industries, fragmented and inconsistent data foundations constrain AIs potential. By redefining data as infrastructure' imbued with stability, scalability, and lifecycle continuity, this volume establishes the structural foundation for sustainable intelligence.\n\nDraw.
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