IBM Data and AI Ideas Portal for Customers


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Status Delivered
Workspace Knowledge Catalog
Created by Guest
Created on Mar 9, 2018

RELATED IDEAS

Classification process should automatically "learn" from users' manual overrides (per tenant)

Organizations may have a specific pattern for storing data such as person names that don't fit our OOTB regex. For example,
names may be stored as "CADOW, EDWARD O (Ed)" in a given system.  The inferred classification is Text rather than "Person Name", and as a result  the user must manually classify name columns that have this pattern in ALL data assets, which is a pain and is tedious.

Since the preview data already has sample values, we should be able to automatically leverage those values for future classifications, so that once users have manually overridden fields with the same values the same way repeatedly for that tenant, our classification should "learn" that and know how to classify that pattern correctly the next time.

If PII/data privacy is a concern for some data classes, we can "mask" the data while preserving the format to represent the sample values if we need to store them somewhere (per tenant).

  • Admin
    Michal Szylar
    Reply
    |     Mar 16, 2023

    Hello,

    This seems to be already possible in the product with metadata enrichment and advanced masking

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