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).


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


ADD A NEW IDEA

watsonx.ai

Showing 259

Keep and maintain at least 2 or 3 Python and R runtime versions in each release of CP4D

Multiple companies and industries work with CP4D for data science models. These models use multiple versions of Python or R runtimes and different open-source libraries that are compatible with the runtime version used to build the model. Clients ...
about 1 year ago in watsonx.ai 2 Not under consideration

Pixtral 12B - Multiple Image Support

According to the Model Card of Pixtral 12B (Pixtral 12B Model Card), there is support for sending multiple images in a single message. However, the WatsonX.AI API does not currently support this feature, resulting in the following error message: "...
7 months ago in watsonx.ai 1 Under review

Include Custom Runtime Environments in Deployment Space Export/Import

When users migrate Deployment Spaces between IBM Cloud Pak for Data environments (e.g., for disaster recovery or CI/CD purposes), custom runtime environments used by assets are not included in the export/import process. This limitation causes impo...
11 days ago in watsonx.ai 0 Submitted

More than one image on chat API

Multimodal Chat API should accept multiple images (base64) not single one. We have several use cases on Banco do Brasil that needs multiple images processing in the same chat but the IBM API limits it to just one due to that they are starting to u...
2 months ago in watsonx.ai 1 Submitted

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 ...
over 5 years ago in watsonx.ai 1 Planned for future release

GPU support for embedding models in watsonx.ai SW

Currently, embedding models are deployed using CPU resources, which leads to slower processing times and increased latency when handling large-scale data. This RFE proposes the implementation of GPU support for embedding model deployments. The enh...
2 months ago in watsonx.ai 0 Future consideration

This topic is about too many endpoint for inferencing in foundation models through watsonx which makes application development harder to do.

This topic is about too many endpoint for inferencing in foundation models through watsonx which makes application development harder to do. We are facing a big workload with a customer (Banco do Brasil) due to too many endpoint for inferencing wa...
4 months ago in watsonx.ai 0 Under review

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...
about 4 years ago in watsonx.ai 0 Planned for future release

The deployment space should support custome container image.

My customers wanted to deploy llama-3-3-70b on CP4D 5.0.2 as custom foundation model.But it failed because new architectural change (vLLM) was introduced in this llama model that is not supported by CP4D 5.0.2.There is no valid workaround for this...
4 months ago in watsonx.ai 0 Submitted

New feature needed to manage the request-limits of the RStudio pods.

CPDS 1.0.7.6 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'...
almost 4 years ago in watsonx.ai 0 Future consideration

By clicking the "Post Comment" or "Submit Idea" button, you are agreeing to the IBM Ideas Portal Terms of Use.
Do not place IBM confidential, company confidential, or personal information into any field.