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: http://ibm.biz/Data-and-AI-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: https://hybridcloudunit-internal.ideas.aha.io


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Natural Language Understanding (NLU)

Showing 27

Support for Chinese (Traditional and Simplified) Language

No description provided
almost 3 years ago in Natural Language Understanding (NLU) 2 Future consideration

Consistent NLU pricing

In the same way that the Discovery pricing has been simplified, the same should happen for NLU. Also, the Lite plan includes one custom model, but the Standard plan does not. This is not consistent with other Watson services, as Discovery. This ...
about 3 years ago in Natural Language Understanding (NLU) 0 Planned for future release

Restore types for concepts

Alchemy had types associated with concepts, but Discovery does not. It was useful to filter returned concepts to remove people and locations, particularly if we were displaying those elsewhere. The people returned as concepts, for example, were...
over 3 years ago in Natural Language Understanding (NLU) 0 Not under consideration

Relation argument offsets relative to the html

The relation argument offsets come back relative to the Discovery text, but if you want to do something useful with those offsets it would probably be to add tags to the html. Computing the corresponding offset in the html is possible, but inconv...
over 3 years ago in Natural Language Understanding (NLU) 0 Future consideration

Developing new languages for Central Europe (Czech, Bulgarian, Slovakian, Magyar)

Hi, a major bank, KBC, is working across Europe and wants to deploy one AI technology across the group. They've started off with Watson Conversation service in Dutch and are very happy with the quality. Considering WDS is coming now in Dutch, th...
almost 4 years ago in Natural Language Understanding (NLU) 1 Future consideration

Ability to use multiple WKS custom models during enrichment

Many a time the number of entity & relation types can grow to the order of a few hundred's and hence will need to be built & maintained across multiple WKS projects. This would mean during enrichment I would need the ability to specify the...
almost 4 years ago in Natural Language Understanding (NLU) 1 Planned for future release

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 ...
almost 4 years ago in Natural Language Understanding (NLU) 1 Delivered