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


ADD A NEW IDEA

All ideas

Showing 3373

@sys-time and @sys-date with Fuzzy matching to handle typos

It would be great if @sys-date and @sys-time could support fuzzy matching in order to handle typos, particularly for the descriptive dates such as: next week (typo: nxt week) September (typo: Septembr)
almost 7 years ago in watsonx Assistant 1 Delivered

Return the start/end indexes of an entity mention in the text.

When predicting entities in a document, the NLU Service does not return any information about where the entities were found in the text. Since we use custom models with a lot of numerical entities, it becomes very hard to find the sentences where ...
about 7 years ago in Natural Language Understanding (NLU) 1 Delivered

Inbuilt capability to understand FAQ documents

Currently, FAQ documents (documents that are already structured in question and answer sections in pdf, word,) need to be pre processed into QnA json units and then imported into discovery. It would be better to have inbuilt feature to understand ...
over 7 years ago in Watson Discovery 2 Delivered

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