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).


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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,


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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

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  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 Employees should enter Ideas at https://ideas.ibm.com


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watsonx.ai

Showing 190 of 15383

As an administrator I should be able to control environment parameters

As an administrator, I should be able to control parameters to environments: I should be able to give default parameters (setup reservation : define the number of UC and memory allocated).Also, it would be even better if I could setup rules such a...
over 5 years ago in watsonx.ai 0 Planned for future release

Can't pull changes from github in Watson Studio Cloud now

No description provided
over 5 years ago in watsonx.ai 0 Planned for future release

Allow db2 operator in streams flow to set batch sizes for inserts.

Allow db2 operator in streams flow to set batch sizes for inserts.
over 5 years ago in watsonx.ai 0 Future consideration

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?
almost 3 years ago in watsonx.ai 0 Future consideration

Add dark theme for Watson Studio and Knowledge Catalog UI

Dark themes are popular for devs around the world, as it makes it easier on the eye when working long hours having to look at screens all the time. https://darkmodelist.com/
about 6 years ago in watsonx.ai 0 Planned for future release

DSX - Local: Resource Allocation to Environment.

configure DSX -Local, so it does not allow the users to have environments with unlimited resources or at least prompt a warning.
about 6 years ago in watsonx.ai 0 Planned for future release

Add environment_guid as a environment variable when running jobs

When running a jupyter notebook in CP4D, Watson Studio Project, there is an environment variable called environment_guid. This is a very handy environment variable as it contains the guid of the environment associated with the jupyter notebook whe...
about 3 years ago in watsonx.ai 0 Future consideration

Add a recycle bin to Cloud Pak For Data user interface

In Cloud Pak for Data assets can be deleted in Projects, Catalogs, Spaces, ... Once they are deleted, you can no longer restore them via the user interface. However, using the Watson Data API there is the possibility to see, delete and restore all...
about 3 years ago in watsonx.ai 0 Not under consideration

Publish WML performance statistics in the documentation

Latency and performance are key considerations when architecting systems to interact with machine learning models. Understanding the performance I can expect, and any limitations of services I am using is important as this information enables me t...
over 6 years ago in watsonx.ai 0 Planned for future release

Provide better documentation on model (re)deployment lifecycle

There are some gaps in the WML documentation, for example: REST/Streaming API If the above answer is no, how can we achieve this using other IBM Cloud services such as API Connect? How can a model be redeployed without downtime? How can a model ...
over 6 years ago in watsonx.ai 0 Planned for future release

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