Skip to Main Content
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 Employees should enter Ideas at https://ideas.ibm.com


ADD A NEW IDEA

watsonx.ai

Showing 192

New feature needed to manage the request-limits of the RStudio pods.

CPDS 1.0.7.6 with CPD 3.5.2.: When RStudio pods reach their allocated RAM limit size, they sometimes just crash and terminate (without an error message to the user), sometimes the user gets an error message (and the pod continues to run and doesn'...
over 3 years ago in watsonx.ai 0 Future consideration

Documentation Issues - Cloud Pak for Data (#MLOps_AOT)

With this idea we want to point to the documentation issues we have encountered on various Cloud Pak for Data services.Example: 1-Documentation / Explanation of deployment space concept (WML) Deployment spaces are not exactly explained. How to use...
over 1 year ago in watsonx.ai 2 Under review

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...
almost 3 years ago in watsonx.ai 0 Future consideration

Support needed to deploy Shiny apps using a custom image

Some packages in R require additional dependencies to install and load the library. For example: odbc driver for RODBC, or GAL/GEOS/PROJ C++ dependencies for many popular geospatial libraries (sf, rgdal, tmaptools etc.). These dependencies can be ...
over 1 year ago in watsonx.ai 1 Future consideration

The jobs were developed in Watson Studio Notebooks in Python, they did not stop working when Python moved to a new version.

When the Python Library is updated, all jobs developed in the last version stop working. If it is possible to keep the work developed in the old version working for 1 or 2 previous versions of the current one. This possibility helps to have more t...
about 1 year ago in watsonx.ai 0 Future consideration

Model release management for batch and web-service scoring

In CP4D analytics project, there is no model release management framework like SPSS Collaboration and Deployment Services (CaDS). We need, 1. LEARNING - Running batch script for model re-training at some intervals(weekly or monthly), and save new ...
about 5 years ago in watsonx.ai 1 Planned for future release

VS Code hosted integrated in Watson Studio

Many data science code development tasks are analytical and can be done through the notebooks available. There are however tasks that require more sophisticated code develpment for which notebooks are not as suitable. For these it would be benef...
over 2 years ago in watsonx.ai 1 Planned for future release

Orchestration Pipeline supports Grid View UI capability

Currently one can access a Pipeline historical job runs in a list like fashion, i.e jobs are listed historically, in order to view the status for each node/task in the pipeline one has to click/navigate into the particular job run,one of the capab...
3 months ago in watsonx.ai 0 Under review

Orchestration Pipeline should allow users to automate retrying execution on failed node during pipeline job execution

Currently there is no way to 'continue/trigger' a task execution as part of a job which ran but say failed on a certain task; here is the scenario: assume pipeline has following structure: [node1] -> [node2] -> [node3] -> [node4] in case ...
3 months ago in watsonx.ai 0 Under review

Pipeline API documentation needs enhancements

Customer complains about neither the main REST API doc https://cloud.ibm.com/apidocs/orchestration-pipelines, or the API sample doc: https://pipelines-api.s3-web.eu-de.cloud-object-storage.appdomain.cloud/ explains 1. JSON model of the pipeline an...
3 months ago in watsonx.ai 0 Under review