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:


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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 39

Allow user to save and deploy Turicreate based Coreml models.

Allow user to save and deploy Turicreate based Coreml models in watson machine learning.
over 4 years ago in Watson Studio (Deploy) 3 Not under 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...
almost 6 years ago in Watson Studio (Deploy) 5 Functionality already exists

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...
over 1 year 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 ...
about 5 years ago in Watson Studio (Deploy) 3 Not under 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 ...
3 months ago in Watson Studio (Deploy) / Product functionality 1 Future consideration

Alerting possibilities for jobs

As an CP4D administrator I need to be alerted if jobs are not starting and remain in pending state. Example for alerts are: · Jobs that are already since x minutes in pending · X% of the jobs are in pending state · Pods in status “CrashLoopBackup”...
8 months ago in Watson Studio (Deploy) 0 Not under consideration

Configurable resource requirement of PMML deployment

Since many customers may have a separate data science team for the model building work, while the deployment work will be done by the system/platform admin team. Therefore it would be better for the system admin team to control the resource requir...
3 months ago in Watson Studio (Deploy) 0 Under review

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...
about 2 years 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...
about 2 years ago in Watson Studio (Deploy) 0 Not under 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.
over 3 years ago in Watson Studio (Deploy) 0 Planned for future release

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