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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 Employees should enter Ideas at https://ideas.ibm.com


ADD A NEW IDEA

watsonx.ai

Showing 196 of 15607

Support deploying R models as a web service

Big companies that started earlier with ML, started with R, as it was not until 2017 that python surpassed R as the preferred language for ML. Still many companies have models running in batch on Spark clusters and those models are implemented in ...
over 4 years ago in watsonx.ai 2 Planned for future release

#cpfield Refinery data preview UI enhancements

The Refinery's data preview UI and the Default Catalog's data preview UI are similar, but the Refinery's UI can't see the catalog information for an item. We want CP4D to be able to refer to the catalog information of items from the Refinery data ...
about 3 years ago in watsonx.ai 0 Future consideration

Delete scripts, Shiny apps from Projects

In a Watson Studio Project it is possible to delete many types of assets: data assets, notebooks, refinery flows, ... To delete an asset from a project, we can choose the Delete or the Remove option from the action menu next to the asset on the pr...
over 3 years ago in watsonx.ai 0 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 5 years ago in watsonx.ai 0 Planned for future release

Integration of multiple data sources on dashboard

the problem statement/pain points: Multiple data sources cannot join on dashboard selectes sources in now.( as a work around we create view in database side.)
over 5 years ago in watsonx.ai 0 Planned for future release

Bitbucket integration - updating master instead of updating the branch

Bitbucket integration - updating master instead of updating the branch GIT related issues - Create a new repository with no folder structure. Use this GIT repository for a new Project and when doing push, it fails. - OCBC is planning to have all ...
over 5 years ago in watsonx.ai 1 Planned for future release

Access Control in WSL based on Groups not single Users

Today, user access to projects (at least to analytics projekts) is based on user names, even user groups can be configured in CP4D. It should be possible to add groups to analytics projects as well. Otherwise, in real-life scenarios, user manageme...
almost 4 years ago in watsonx.ai 0

Provide a resource monitor when running a jupyter notebook

Provide a resource monitor when running a jupyter notebook. when I choose a runtime resource for a notebook, e.g. "GPU v100 runtime 2.2 on python 3.9", I get 16G gpu-memory, so it's important that I monitor the realtime consumption for the gpu-mem...
almost 2 years ago in watsonx.ai 0 Future consideration

Ability to import notebooks to access functions when running a notebook as a job

Within the JupyterLabs IDE users are able to use a package like https://pypi.org/project/import-ipynb/ to import local notebooks and access the functions etc within. This does not function when notebooks are run as Jobs. Scenario: Notebook A impor...
about 4 years ago in watsonx.ai 0 Future consideration

Export a trained model and its environment for deployment to existing offerings & devops pipelines

Once a model is trained and ready to be deployed, there should be an integrated way to publish the model and its dependencies to existing on-prem or cloud DevOps pipelines
about 4 years ago in watsonx.ai 0 Planned for future release