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IBM Data and AI Ideas Portal for Customers


This portal is to open public enhancement requests against products and services offered by the IBM Data & AI organization. To view all of your ideas submitted to IBM, create and manage groups of Ideas, or create an idea explicitly set to be either visible by all (public) or visible only to you and IBM (private), use the IBM Unified Ideas Portal (https://ideas.ibm.com).


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:


Search existing ideas

Start by searching and reviewing ideas and requests to enhance a product or service. Take a look at ideas others have posted, and add a comment, vote, or subscribe to updates on them if they matter to you. If you can't find what you are looking for,


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


Specific links you will want to bookmark for future use

Welcome to the IBM Ideas Portal (https://www.ibm.com/ideas) - Use this site to find out additional information and details about the IBM Ideas process and statuses.

IBM Unified Ideas Portal (https://ideas.ibm.com) - Use this site to view all of your ideas, create new ideas for any IBM product, or search for ideas across all of IBM.

ideasibm@us.ibm.com - Use this email to suggest enhancements to the Ideas process or request help from IBM for submitting your Ideas.

IBM Data & AI Roadmaps (http://ibm.biz/Data-and-AI-Roadmaps) - Use this site to view roadmaps for Data & AI products.

IBM Employees should enter Ideas at https://hybridcloudunit-internal.ideas.aha.io/


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Watson Studio (Deploy)

Showing 34 of 13558

Allow custom hardware specifications for Online Deployments such as for a Shiny app

We have users that have a need for different hardware configurations when deploying a RShiny application in their deployment space. They need high amount of memory but only need 2 cpu. We dont want them to deploy the application with a high amount...
10 months ago in Watson Studio (Deploy) 0 Future consideration

Allow user to save and deploy Turicreate based Coreml models.

Allow user to save and deploy Turicreate based Coreml models in watson machine learning.
almost 4 years ago in Watson Studio (Deploy) 3 Future consideration

Add GPU support for Machine learning

Various machine learning backends benefit greatly by running with GPU support. We can already run Keras with a TensorFlow backend on DSx but it's CPU only which makes it unusably slow for many situations. It would be great to allow DSx to take adv...
over 5 years ago in Watson Studio (Deploy) 5 Functionality already exists

WML pod logging for data scientist

Python functions can run in a online deployment but as a data scientist i can't see te container/ pod logging of this function. The logging of the runs of the containers can be viewed by looking through administration in the logging of the pods (P...
7 months ago in Watson Studio (Deploy) 0 Future consideration

Allow package extensions to be added via UI

Often clients develop their own python packaes & libraries Not every client has a binary repository manager such as artifactory Clients can add their own libraries in WML using package extensions Currently those can only be created using the w...
over 1 year ago in Watson Studio (Deploy) 1 Future consideration

Add "queued" status

When collecting information about current train runs, it happens that tasks are "running" but actually are still waiting for a GPU (see Support Ticket CS2171712). It is hard for a developer to know at which state the task actually is (running or w...
almost 2 years ago in Watson Studio (Deploy) 0 Future consideration

Allow for project variables which can be used (among other things) for security.

Security flaw to allow login data in a notebook. i.e. wml_credentials={ "url": wml_service_credentials_url, "username": wml_service_credentials_username, "password": wml_service_credentials_password } We should allow for project variables ...
over 4 years ago in Watson Studio (Deploy) 3 Future consideration

virtual deployment

A large CPD customer from Taiwan have about 2000 GPU nodes using Slurm to running Kubernetes for AI jobs now, They plan to build CP4D on another stand alone cluster. They want CP4D utilize the GPU cluster but no need brake out existing mechanism.
about 3 years ago in Watson Studio (Deploy) 0 Planned for future release

Add Form POST support for web services

Taken from https://github.ibm.com/PrivateCloud/support/issues/716 attempt to call Python web service with file_upload() or any multi-part form POST call fails with web service error [call should invoke Python method] [customer is uploading i...
almost 3 years ago in Watson Studio (Deploy) 0 Future consideration

project update n-1

WML fails to update n-1 project version while updating project from "From File" option even though it recognized new changes. ref case # TS004326688 The workaround is to uninstall the whole project and install again or to manually copy files into ...
about 2 years ago in Watson Studio (Deploy) 0 Planned for future release