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IBM Data Platform Ideas Portal for Customers


This portal is to open public enhancement requests against products and services offered by the IBM Data Platform 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).


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:


Search existing ideas

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,


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


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 296

New Request: Deployed AI service endpoint does not work when the model related to that service is deprecated

We have 20+ AI services deployed using llama-3 model. But now that we are deprecating them because we have llama-4 available, the existing services that are deployed using llama-3 will not work. The 20+ services are deployed in production and need...
5 months ago in watsonx.ai 0 Future consideration

Guardrails for blocking content in German Langauge

Currently, Guardrails for blocking incoming and outgoing messages from a LLM are only available in English. It would be very useful to be able to block certain content in German language, too.
10 months ago in watsonx.ai 0 Future consideration

Support Apache Hive connector in AutoAI with Kerberos Authentication

We are exploring ways to utilize the low-code tools available in CP4D to process the data straight from our main data source with is a Cloudera cluster. We connect to it using Apache Hive with Kerberos Credentials. Unfortunately we have seen mixed...
10 months ago in watsonx.ai 1 Under review

Ability to detect if the image has been altered or is it AI generated image from public internet in our visionary models

Ability to detect if the image has been altered or is it AI generated image from public internet in our visionary models
5 months ago in watsonx.ai 0 Under review

Each window should contain links to corresponding documentation

IBM controls each window that is displayed in each Cloud Pak for Data service, and each documentation page. Users would benefit from having a direct link to the documentation that will help them understand/use the product.
almost 2 years ago in watsonx.ai 0 Under review

The jobs were developed in Watson Studio Notebooks in Python, they did not stop working when Python moved to a new version.

When the Python Library is updated, all jobs developed in the last version stop working. If it is possible to keep the work developed in the old version working for 1 or 2 previous versions of the current one. This possibility helps to have more t...
about 2 years ago in watsonx.ai 0 Future consideration

Maximal quota for deployment spaces

As a service provider I need control the max resources a tenant is using. In 4.5 you can set quotas for individual services, and on projects to help mitigate unexpected spikes in resource use. This functionality is missing for deployment spaces
about 3 years ago in watsonx.ai 0 Future consideration

Configurable resource requirement of PMML deployment

Since many customers may have a separate data science team for the model building work, while the deployment work will be done by the system/platform admin team. Therefore it would be better for the system admin team to control the resource requir...
almost 3 years ago in watsonx.ai 0 Future consideration

Restriction on environment template

CP4D resource are shared across all the projects jobs that are scheduled by the project. There should be Production jobs that are running and there could be user personal jobs that are running. Because the resource are shared as a whole, it will b...
6 months ago in watsonx.ai 0 Under review

Federated AI for Secure Multi-Enterprise Collaboration

Why Is It Useful? In many industries, organizations hold valuable data that could collectively improve AI models—such as for fraud detection, disease diagnosis, or supply chain optimization—but data privacy, regulations, and competitive concerns p...
6 months ago in watsonx.ai 0 Under review