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AI-Driven Data Supply Chain

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Paperback / softback
220 Pages
20 November 2026
RRP: $130.99
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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.

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    Product Details
    ISBN-13
    9781041132196
    Author
    Rahul Mathur
    Publisher
    CRC Press
    Published
    20 November 2026
    Format
    Paperback / softback
    Pages
    220

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    RRP: $130.99
    $130.00
    Ships in 2-5 business days

    Delivery estimate

    Hurry up! Current stock:

    AI-Driven Data Supply Chain

    RRP: $130.99
    $130.00

    Description

    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.

    You Can Find This Title In

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