IBM Data and AI Ideas Portal for Clients

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

If you have not registered on this portal please register at . To complete registration you will need to open the email you will receive from Aha to confirm your identity.

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 offering manager 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:

Develop a collection of REST APIs and SDKs that allow to automate IBM Watson Knowledge Studio functions

Develop functions that allow to automate IBM Watson Knowledge Studio activities in Python like:

1- Upload entities and relationships

2- Upload dicts associating it to entities

3- Upload files to be annotate

4- Run annotators, specially dictionnary pre-annotator

5- Get sentences to be annotated

6- Set annotations: mention, relationship and coreference

7- Evaluate ground truth 

  • Deleted user
  • Oct 10 2017
  • Future consideration
Who would benefit from this IDEA? As a CTO of a Start-up builder, I want to lead knowledge management throught virtual corporate knowledge tool.
Idea Priority High
  • Guest commented
    24 May, 2018 04:10pm


    In working with a number of internal product teams within IBM that have used WKS or in the process of using it this requirement keeps coming up.  Various teams have proposed ideas around their needs. As we look to merge our tooling into Watson Studio there are capabilities within it that should work nicely, especially around the continuous learning techniques.   In addition to the the above, we need the following endpoints 

    a) Ability to evaluate a WKS model given a test set or blind set and produce metrics + confusion matrix

    b) Ability to version and deploy a WKS model

    c) Ability to collect and store feedback 

    d) Ability to provide continuous learning (Enable continuous learning, Provide thresholds for automatic re-training, accuracy thresholds for publishing a model  - Note : All this exist in Studio today for WML)

  • Guest commented
    25 Mar, 2018 02:05pm


    the way WKS GUI works nowadays the human annotator needs to focus on the annotation activity. This is pretty repetitive and difficult to scale to different users => few people many annotations.

    The idea is create I different GUI where have a different approach allowing => many people few annotations.

    My team and me have already presented the hole workflow to IBM DEG - Developer Ecosystem Group in Brazil.

  • Guest commented
    21 Mar, 2018 10:15pm

    @Andrew Freed

    Making Watson smarter with use (harnessing end user feedback) is a very nice idea. We already have a placeholder in the roadmap, but haven't had time to discuss it seriously. As the NLU is currently working on a NLU Train API, I'm sure that soon we'll have technology to support the continuous learning idea.

    It seems that there are several different scenarios that require WKS API. I think that your idea leans more towards the NLU Train API, because I'm not sure that you need WKS for the use case that you describe.

  • Guest commented
    21 Mar, 2018 10:09pm

    Could you describe the scenario (workflow) that you envision for the API that you describe?

    Where would the artifacts (type system, docs) come from?

    How does step 6 fit into the workflow, and why do you need an API for it? (This is the human annotation activity.)

    What is the user benefit (business value) for your case? Are you saving time, scaling activities, replacing WKS GUI, or something else?

    The more information you provide, better I'll understand your case and better the chances to promote this idea to the WKS roadmap. Thanks.

  • Guest commented
    14 Dec, 2017 05:50pm

    Marc, we are planning to separate the publishing of trained models (done by WKS human annotators or project managers) from deploying the models to NLU/WDS (done by developers). NLU is working on a MMA (model management API). When this is ready, the API that you need would belong to NLU, not to WKS as WKS will be responsible for developing and publishing the models, not for managing the model deployment across services.

    If you feel that the other WKS API cases are needs, please elaborate on the business/client benefits of having such APIs. I don't see such benefits apart from someone trying to replicate WKS in a different application.

  • Guest commented
    12 Oct, 2017 02:58pm

    My specific request is to provide an API to automate the deployment of a MLM to WDS. This is for a key partner who is looking to scale & automate Discovery collections using a pre-defined WKS model.

IBM's success depends on gathering feedback from customers like yourself. Aha Ideas Portal is the third party tool through which IBM Offering Managers gather feedback from customers such as yourself.
IBM is a global organization with business processes, management structures, technical systems and service provider networks that cross borders. As such, the information collected through Aha Ideas Portal (Customer Name, Customer Email Address) will be stored by them in the United States, and handled only as per IBM's instructions and policies. Your data (Name and Email Address) will NOT be shared with other IBM customers.
In order to safeguard your information in Aha, do not leave your workstation unattended while using this application, log off after using it, and print only if necessary. If you need to make a hardcopy, remember to pick up the print-out immediately, keep it under lock, and destroy it immediately when no longer needed.
NOTICE TO EU RESIDENTS: per EU Data Protection Policy, if you wish to remove your personal information from the IBM ideas portal, please login to the ideas portal using your previously registered information then change your email to "anonymous@euprivacy.out" and first name to "anonymous" and last name to "anonymous". This will ensure that IBM will not send any emails to you about all idea submissions