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Making data smarter with IBM Watson solutions and IBM Storage
By
David Wohlford
posted
Tue October 20, 2020 09:34 AM
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Today we published the final version of
Making Data Smarter with IBM Spectrum Discover: Practical AI Solutions, SG24-8488 IBM Redbooks
. Thanks to everyone for making this Redbooks happen.
The book has the following six use cases that are explored in technical depth as well through summaries for non-technical readers. The summaries for all use cases can also be found in Section 1.8, “Overview of the use cases” on page 25.
Categorizing medical imaging data with content-search capability
Extracting metadata from LIDAR imagery with custom applications
Organizing training data sets for artificial intelligence
Using artificial intelligence in medical imaging - JFR Challenge
Data Governance use case: Data staging for high performance processing
Data Optimization use case: Data migration to tape for cost-efficient archiving
Each use case has a summary table with the following information:
Use case overview
Products involved
Benefits
High level implementation steps
In addition, there is a chapter on how to design and implement an AI data pipeline using IBM Spectrum Discover.
The code developed during the residency is published at the IBM Redbooks GitHub site:
https://github.com/IBMRedbooks/SG248448-Making-Data-Smarter-with-Spectrum-Discover-Practical-AI-Solutions
In order to promote this Redbooks and the recently published
Cataloging Unstructured Data in IBM Watson Knowledge Catalog with IBM Spectrum Discover
Redpaper, I published 2 blog posts
Put AI to work in your business with metadata management
Announcing the availability of two new IBM Spectrum Discover Redbooks publications!
Please share this announcement with your colleagues and help us spreading out the word.
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