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.
Dynamic Number of Time Series Forecasted in Watson Studio SPSS Modeler Flow
There is need to be able to run a forecasting job even if the amount of timeseries changes (without going to the modeler to manually select a Type for each series). This can happen (but is not limited to) when using MDX to import data from IBM Pla...
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...
New feature needed to manage the request-limits of the RStudio pods.
CPDS 220.127.116.11 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...
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...
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 p...
Python packages installed by the Data Scientist are not persistently stored in the WSUSER home directory like in RStudio
When a runtime environment is stopped, the installed Python packages are also deleted. And you have to install the packages again when starting the runtime environment or after starting by Python program. This can take a long time for some package...
Model release management for batch and web-service scoring
In CP4D analytics project, there is no model release management framework like SPSS Collaboration and Deployment Services (CaDS).We need,1. LEARNING - Running batch script for model re-training at some intervals(weekly or monthly), and save new mo...
The volumes.mount_path attribute in the Spark Jobs API is mandatory
The volumes.mount_path attribute in the Spark Jobs API is mandatory, https://www.ibm.com/docs/en/cloud-paks/cp-data/4.0?topic=jobs-spark-api-syntax-parameters-return-codesThis should be an optional attribute to make it consistent with the usage of...
Do not place IBM confidential, company confidential, or personal information into any field.