Published on October 19, 2020
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
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:
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.
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