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IBM Data and AI Ideas Portal for Customers


This portal is to open public enhancement requests against products and services offered by the IBM Data & AI organization. To view all of your ideas submitted to IBM, create and manage groups of Ideas, or create an idea explicitly set to be either visible by all (public) or visible only to you and IBM (private), use the IBM Unified Ideas Portal (https://ideas.ibm.com).


Shape the future of IBM!

We invite you to shape the future of IBM, including product roadmaps, by submitting ideas that matter to you the most. Here's how it works:


Search existing ideas

Start by searching and reviewing ideas and requests to enhance a product or service. Take a look at ideas others have posted, and add a comment, vote, or subscribe to updates on them if they matter to you. If you can't find what you are looking for,


Post your ideas

Post ideas and requests to enhance a product or service. Take a look at ideas others have posted and upvote them if they matter to you,

  1. Post an idea

  2. Upvote ideas that matter most to you

  3. Get feedback from the IBM team to refine your idea


Specific links you will want to bookmark for future use

Welcome to the IBM Ideas Portal (https://www.ibm.com/ideas) - Use this site to find out additional information and details about the IBM Ideas process and statuses.

IBM Unified Ideas Portal (https://ideas.ibm.com) - Use this site to view all of your ideas, create new ideas for any IBM product, or search for ideas across all of IBM.

ideasibm@us.ibm.com - Use this email to suggest enhancements to the Ideas process or request help from IBM for submitting your Ideas.

IBM Employees should enter Ideas at https://ideas.ibm.com


Status Not under consideration
Workspace Watson Discovery
Created by Guest
Created on Aug 29, 2018
Merged idea
This idea has been merged into another idea. To comment or vote on this idea, please visit WDS-I-165 Data masking for ingested WDS documents.

Marking up or Masking certain fields based on identified entities (either from NLU or WKS) Merged

We have a use case where every document going into WDS index has to be masked for PII. We are planning to build a WKS model for name identification but a custom effort is required to mask the identified names and then store the documents in the index. This prevents us from using the out of the box NLU/WKS integration in WDS. So if we a masking layer on top of (Convert, Enrich, Normalize) then it will easy for the users to configure what has to be masked based on what.