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,
Post an idea
Upvote ideas that matter most to you
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.
Currently, We can't deployment multiple DV instance services. This may bring some limits, especially for sensitive data.Please consider adding support for this. Our scenario needs to support multiple departments/groups using DV, and the related da...
CP4D handling of users which are no longer authorized
If a Cloud Pak for Data user is no longer able to logon (removed from a AD group that is mapped to CPD group) then the user record in "Access control" should be marked as deleted. It should no longer be possible to authorize this user to any CPD s...
More information & transparency about deployment process of Shiny App needed - Watson Machine Learning
Currently when promoting a Shiny App from Watson Studio to Watson Machine Learning and deploying this Shiny App in Watson Machine Learning there is only little feedback over the progress of the deployment. This is making it difficult troubleshooti...
CP4D does't use limit ranges for the analytical runtime enviroments R and Python
As an application manager for analytics, I want computer resources to be used efficiently and cost-effectively. Not using limit range on openshift means that only a few data scientists can use the system because all computer resources are immediat...
Show meaningful error message when a RStudio pod can not be startet because the system cannot request the needed resources
As a Data Scientist I frequently need to start runtime environments. Often these are small enough and they quite naturally fit the available resources. Sometimes however, there is a very large environment needed. Therefore I would like to see an m...
New feature needed to manage the request-limits of the RStudio pods.
CPDS 18.104.22.168 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't...
Add configuration options for LDAP Names to GUI in CPD
There is currently no way to configure what names are pulled from LDAP in the user interface for LDAP Configuration in CPD. After working with Harjit Thind, it was decided that we should open a development request to expose these configuration opt...
RStudio or Python Runtime environments are automatically restarted when memory limits are reached
RStudio or Python Runtime environments are automatically restarted when memory limits are reached without any information to the data scientist and all results are gone. A better behavior would be if the application RStudio or Jupither/lab would g...
Rules should pick up metadata assigned to data classes
Currently, Rules within WKC only picks up data classes, business terms, and classifications that are applied directly to columns/assets within the Catalog, under the asset preview section. We expected that we would be able to create dependent data...
Ability to stop print messages from python package ibm_watson_machine_learning
When using ibm_watson_machine_learning package, it prints messages in console after any wml command, like token preparation, space initialization, job deployment etc. Can we have an option where we could disable these print meassages?
Do not place IBM confidential, company confidential, or personal information into any field.