IBM Data and AI Ideas Portal for Customers


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

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 product management 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: http://ibm.biz/Data-and-AI-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: https://hybridcloudunit-internal.ideas.aha.io


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Cloud Pak for Data

Showing 16

Interactive Elastic Distributed Training notebook in Watson Studio

Watson Machine Learning Accelerator Elastic Distributed Training (EDT) simplifies the distribution of training workloads for the data scientist. Deep learning experiment in Watson studio provide the UI to submit job in WMLA , but this is not inter...
29 days ago in Cloud Pak for Data / Watson Machine Learning Accelerator 0 Under review

Tensorboard support on job monitoring

TensorBoard is TensorFlow’s visualization toolkit enables tracking metrics like loss and accuracy, visualize the model graph, view histograms of weights, biases, or other tensors as they change over time, and much more.A managed TensorBoard suppor...
about 1 month ago in Cloud Pak for Data / Watson Machine Learning Accelerator 0 Under review

Grafana / Prometheus GPU metric in CP4D

It would be nice to have the GPU utilization metrics used in WMLA also introduced to the main monitoring dashboard of core CP4D. This is so that we still have a single monitoring dashboard for all services of CP4D.
about 1 month ago in Cloud Pak for Data / Watson Machine Learning Accelerator 0 Under review

WMLA EDT: Customization, Minimal Example & Documentation

Client asks how to use and customize the elastic distributed training (EDT) feature of WML-A. They explicitly complained about the lack of a detailed documentation (being aware of WMLA/Spectrum Conductor documentation in the knowledge center &...
11 months ago in Cloud Pak for Data / Watson Machine Learning Accelerator 0 Under review

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...
2 months ago in Cloud Pak for Data / Watson Studio 0 Under review

whether to automate elimination of permission to "group" in jupyter notebook files

During the creation of instance group and notebooks the file permissions are 660 giving access to the group to be able to copy data to their notebook environment.
3 months ago in Cloud Pak for Data / Watson Machine Learning Accelerator 0 Under review

WMLA 1.2.3 support on RH O/S 8.4

We have been informed that WMLA 1.2.3 is supported on RH O/S 8.2 & 8.3. Our servers are being installed with RH 8.4 version. We would like to make sure WMLA 1.2.3 is supported for RH 8.4 and we were informed that it may work but need to be tes...
3 months ago in Cloud Pak for Data / Watson Machine Learning Accelerator 0 Under review

Update WML CE Tensorflow Version to 2.2+

The Tensorflow versions in the current WML CE Conda stream are currently significantly out of date.Code written in TF2.2+ is not easily backwards compatible with that of TF2.1, which is now over a year old.TF2.2+ brings significant improvements to...
10 months ago in Cloud Pak for Data / Watson Machine Learning Accelerator 1 Under review

fabric files for both x86 and ppc64le on Same Cluster if HPO Models are running on

https://jazz07.rchland.ibm.com:21443/jazz/web/projects/pc-management#action=com.ibm.team.workitem.viewWorkItem&id=266399Customer will be purchasing more x86 nodes shortly to add to cluster. Customer needs permanent solution
11 months ago in Cloud Pak for Data / Watson Machine Learning Accelerator 0 Under review

Power architecture - Pyarrow & RAPIDS latest packages

Please refer the support ticket- TS004247707 for details
12 months ago in Cloud Pak for Data / Watson Machine Learning Accelerator 1 Under review