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Data Fabric: An Intelligent Data Architecture for AI

Steven Astorino, Mark Simmonds, Roger Sanders


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  • Many organizations recognize the value and benefits Artificial Intelligence (AI) can bring if implemented correctly. This topic is outlined in the authors' previous book, Artificial Intelligence: Evolution and Revolution. A long-standing challenge that many organizations continue to face is preparing for AI and making sure that their data and assets are accessible, manageable, and governed and are of the right quality so that they can be consumed by new and existing AI applications in order to infuse AI across the enterprise to help drive smarter business outcomes.

    Over the years, numerous paradigms and efforts have attempted to address the complexities of managing sprawling and disparate data silos, but all seemed to have fallen short of their promises and expectations. Organizations need the flexibility to put their data and assets where it makes most business sense, whether that's on premises or in the private or public cloud.

    This book explains the concepts and values that a data fabric approach can deliver to both technical and business communities.

    This book helps the reader on their AI journey by covering:

    • The concepts and benefits of a data fabric approach
    • Key technologies and capabilities of a data fabric
    • Common use cases driving the need for a data fabric
    • benefits for both teams and technical teams
    • Practical steps on how to implement a data fabric
    • Delivering a data fabric as part of IBM Cloud Pak for Data
  • Steven Astorino is the Vice President of Development, Data and AI and Canada Lab Director at IBM. He is a development executive with proven transformational leadership and expertise in leading large enterprise development. He has been leading and driving the machine learning and data science strategy for IBM's analytics group. Steve has a Bachelor's Degree in Computer Science.

    Mark Simmonds is a Program Director in IBM Data and AI communications. He writes extensively on machine learning and data science, holding a number of author recognition awards. He previously worked as an IT architect, leading complex infrastructure design projects. He is a member of the British Computer Society and holds a Bachelor's Degree in Computer Science.

  • Item Number: 5183
    Author Name: Steven Astorino, Mark Simmonds
    Publication Date: December 1, 2022
    Edition: First
    Pages: 128
    ISBN-10: 158347904X
    ISBN-13: 9781583479049
    Format: Paperback
    Product Dimensions: 6 x 0.3 x 9 inches
    Shipping Weight: 5.6 ounces
    Language: English

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