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 169

ODBC - Bulk Load capability

CP4D - DataStage will be used in the data flows defined in our datalake using Postgres and Azure SQL. Because we are required to use the ODBC Connector for the connections we require the capability of doing Bulk Loads , exactly as this is offered ...
2 months ago in Cloud Pak for Data / Connectivity / DataStage 1 Future consideration

Optimize classification models to optimize for high Recall and Precision

The classification models are currently optimizing for high Accuracy. There can be situations where high Recall or Precision may be desired rather than Accuracy. Can we give the user the ability to select the measure that needs to be optimized? Wi...
2 months ago in Cloud Pak for Data / SPSS Modeler 0

WKC data is not protected in a sensitive project

The data what we tested in assets are as follows. data from WKC in a project As a project editor, I can use the data without viewing the Patient ID, because I don't have the authorization to view it. So, it is a very important and helpful mechan...
7 months ago in Cloud Pak for Data / Watson Studio 3 Future consideration

Dashboard should mask data (Data protection rule)

Dashboards should be mask data based on the data protection rule,Problem: Even if certain data is masked in Preview or Refinery in the analytics project, Dashboard allows all collaborator to show its data.According the manual below, in the Dashbo...
6 months ago in Cloud Pak for Data / Cognos Dashboards 0 Future consideration

add/remove collaborators in Transformation Project

Transformation projects has the following problem, it is not possible to restrict access to different projects by users, all users with data enginering role can access all projects. The requested improvement lies in being able to add and remove co...
5 months ago in Cloud Pak for Data / DataStage 0 Not under consideration

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...
27 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...
28 days 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.
28 days 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

Some users need to be unable to create analytical projects.

We have customers who want to create as many analysis projects as they need, under proper management, and are concerned that the number of analysis projects will become disorganized and unmanageable. Since the current specification allows any user...
about 1 year ago in Cloud Pak for Data / Cloud Pak for Data On Premises Software 0 Delivered