The Data Grid: A Multidisciplinary Guide to Building the Soft Infrastructure of the AI Era

Author:   Zhongyuan Thomas Lee
Publisher:   Springer Nature Switzerland AG
ISBN:  

9783032250032


Pages:   126
Publication Date:   23 May 2026
Format:   Paperback
Availability:   Not yet available   Availability explained
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The Data Grid: A Multidisciplinary Guide to Building the Soft Infrastructure of the AI Era


Overview

As industries transition from the automation focus of Industry 4.0 to the human–AI collaboration of Industry 5.0, 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 AI’s 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 AI’s potential. By redefining data as infrastructure' imbued with stability, scalability, and lifecycle continuity, this volume establishes the structural foundation for sustainable intelligence. Drawing from systems engineering, industrial engineering, reliability theory, and risk management, this book offers a cross-disciplinary framework for building AI-native data infrastructures. While data engineering originates from computer and software engineering, in the infrastructure context, it is not and should not be confined to these disciplines. It shows how principles such as determinism, fault isolation, boundary control, and semantic layering can be adapted for enterprise-level data environments. Supported by engineering analysis and practical case studies, the book redefines data not as a static resource but as a continuously flowing soft infrastructure: an engineered backbone for resilient, long-term intelligent systems.

Full Product Details

Author:   Zhongyuan Thomas Lee
Publisher:   Springer Nature Switzerland AG
Imprint:   Springer Nature Switzerland AG
ISBN:  

9783032250032


ISBN 10:   303225003
Pages:   126
Publication Date:   23 May 2026
Audience:   Professional and scholarly ,  College/higher education ,  Professional & Vocational ,  Postgraduate, Research & Scholarly
Format:   Paperback
Publisher's Status:   Active
Availability:   Not yet available   Availability explained
This item is yet to be released. You can pre-order this item and we will dispatch it to you upon its release.

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Author Information

Zhongyuan Thomas Lee (formerly Zhongyuan Li) is a doctoral researcher in Multidisciplinary Engineering at Texas A&M University. He also serves as a Staff Data Engineer at Compass, where he works on enterprise-scale data infrastructure. His research focuses on Industry 4.0/5.0 systems, digital twins, and AI-ready data infrastructures. He has published over twenty-five peer-reviewed papers in journals and conferences. With more than fifteen years of professional experience as a Data Engineer, he has worked across multiple industries including power grids, telecommunications, finance, and healthcare.

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