Making Data Smarter with IBM Spectrum Discover: Practical AI Solutions

An IBM Redbooks publication

thumbnail 

Published on 19 October 2020

  1. .EPUB (1.2 MB)
  2. .PDF (8.8 MB)

Apple BooksGoogle Play Books
Share this page:   

ISBN-10: 0738459135
ISBN-13: 9780738459134
IBM Form #: SG24-8488-00


Authors: Ivaylo B. Bozhinov, Isom Crawford Jr., PhD , Joseph Dain, Mathias Defiebre, Maxime Deloche, Kiran Ghag, Vasfi Gucer, Xin Liu, Abeer Selim, Gauthier Siri and Christopher Vollmar

Related video

0
    menu icon

    Abstract

    More than 80% of all data that is collected by organizations is not in a standard relational database. Instead, it is trapped in unstructured documents, social media posts, machine logs, and so on. Many organizations face significant challenges to manage this deluge of unstructured data, such as the following examples:

    • Pinpointing and activating relevant data for large-scale analytics
    • Lacking the fine-grained visibility that is needed to map data to business priorities
    • Removing redundant, obsolete, and trivial (ROT) data
    • Identifying and classifying sensitive data

    IBM® Spectrum Discover is a modern metadata management software that provides data insight for petabyte-scale file and Object Storage, storage on-premises, and in the cloud. This software enables organizations to make better business decisions and gain and maintain a competitive advantage.

    IBM Spectrum® Discover provides a rich metadata layer that enables storage administrators, data stewards, and data scientists to efficiently manage, classify, and gain insights from massive amounts of unstructured data. It improves storage economics, helps mitigate risk, and accelerates large-scale analytics to create competitive advantage and speed critical research.

    This IBM Redbooks® publication presents several use cases that are focused on artificial intelligence (AI) solutions with IBM Spectrum Discover. This book helps storage administrators and technical specialists plan and implement AI solutions by using IBM Spectrum Discover and several other IBM Storage products.

    Table of Contents

    Chapter 1. IBM Spectrum Discover overview

    Chapter 2. Generic imagery use cases

    Chapter 3. AI pipeline that uses IBM Spectrum Discover

    Chapter 4. Using artificial intelligence in medical imaging

    Chapter 5. IBM Spectrum Discover integration with IBM Spectrum Archive Enterprise Edition

    Appendix A. IBM Spectrum Scale, IBM Spectrum Archive, and IBM Tape libraries product details

    Appendix B. Additional material

     

    Others who read this also read