IBM Data and AI Ideas Portal for Customers

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:

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

Help IBM prioritize your ideas and requests

The IBM team may need your help to refine the ideas so they may ask for more information or feedback. The product management team will then decide if they can begin working on your idea. If they can start during the next development cycle, they will put the idea on the priority list. Each team at IBM works on a different schedule, where some ideas can be implemented right away, others may be placed on a different schedule.

Receive notification on the decision

Some ideas can be implemented at IBM, while others may not fit within the development plans for the product. In either case, the team will let you know as soon as possible. In some cases, we may be able to find alternatives for ideas which cannot be implemented in a reasonable time.

Additional Information

To view our roadmaps:

Reminder: This is not the place to submit defects or support needs, please use normal support channel for these cases

IBM Employees:

The correct URL for entering your ideas is:

Status Delivered
Created by Deleted user
Created on Jun 30, 2017

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 the QnA formats in the document and process (convert) internally into multiple document units. Microsoft QnA service allows this user interface to quickly onboard the documents into the corpus.

  • Guest
    May 3, 2019

    Smart Document Understanding makes this even easier - label with Questions/Answers in minutes

  • Guest
    Nov 16, 2017

    We believe this can be accomplished today easily through new Doc splitting features (segmentation), natural language query and relevancy training