Skip to Main Content
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 Planned for future release
Created by Guest
Created on Jul 11, 2018

Support pre-annotated document at predict time (Custom Relations)

  1. Watson Health has very good entity extractors but they are in need of relation extractors. 
  2. They would like to train a custom relations model in WKS. Since they already have good entity extractors, it doesn't make sense for them to train an entities model.
  3. The existing entity type system will be imported to WKS as part of the training.
  4. At predict time they will pass entities pre-annotated in the text and only request relations between the entities in response.
  5. The custom relations model will take the pre-annotated entities and return relations between them.