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,
Post an idea
Upvote ideas that matter most to you
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.
Developing new languages for Central Europe (Czech, Bulgarian, Slovakian, Magyar)
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...
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...
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 ...
Create a rest endpoint to duplicate WKS custom model instance.
Currently, we are unable to scale to more than 20 threads when using a WKS custom model for entity and relation prediction with the NLU service. Our documents are very large and one document can take up to 5 minutes to process. If we have multiple...
The Watson conversation service has the ability to identify both numeric digits and numeric text. I would like the NLU service to have these default entities supported so that I can train models in Knowledge studio with both text and digits. Curre...
When I use postman I am returned a cookie that allows me to make unauthenticated calls into the NLU system. This leads to a vulnerable API due to session hijacking.  To test this I made a call to get a list of models, removed my auth head, and ...
Do not place IBM confidential, company confidential, or personal information into any field.