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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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Showing 11 of 561
161 VOTE

Regarding Mistral Large, I would like the context size to be able to use up to the model size limit (128K) in order to implement RAG & Agentic applications.

There are the following limitations when using Mistral Large via watosonx.ai. Mistral Large model limit: 128K watsonx.ai limit: 32K https://dataplatform.cloud.ibm.com/docs/content/wsj/analyze-data/fm-models.html?context=wx#mistral-large Currently,...
11 months ago in watsonx.ai 2 Delivered

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

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...
4 months ago in watsonx.ai 0 Under review

Add more details to the description if a project couldn't be integrated with git

Some of our users of the platform have a usecase when they want to create a git integrated project from a git repository to which they only have read access. This repository might be not earlier integrated with CP4D so it would lack the assets/ as...
8 months ago in watsonx.ai 0 Under review

Watsonx Pipelines should provide higher level DSL for creating Pipelines programmatically

Currently Watsonx Pipelines provide an API for managing Pipelines as described under https://pipelines-api.s3-web.eu-de.cloud-object-storage.appdomain.cloud/#model-pipelineJson However that API seems very tied to the UI and the payload needed to c...
over 1 year ago in watsonx.ai 0 Delivered

More granular roles and rights management

Roles management are should provide more granular functionality to allow and deny user access to more specific functions. Few examples would be the ability to limit access to specific assets in projects based on roles users have. Maybe by default ...
almost 2 years ago in watsonx.ai 0 Under review

Provide logging/metrics for service level usage of watsonx.ai SaaS

Question from a partner about service level usage logging for watsonx.ai SaaS. Is there a good option to see detailed usage? e.g. number of API endpoint requests over time, histogram of input tokens per request, or grouped by token size, to analyz...
12 months ago in watsonx.ai 0 Under review

Option to have nested project structure and restrict the number of resources consumed at the root project level and sub project levels

Based on our experience, in a Corporate environment, there would be multiple business use cases running on a single Cloud Pak environment which is administered by a different admin team. Considering underlying resources could be limited and there ...
over 2 years ago in watsonx.ai 0 Future consideration

System admins and data stewards require job manager / scheduler tools and access

Data Stewards need a global view of scheduled jobs (i.e. what jobs have been scheduled for when) for specific projects. Data Stewards need the ability to manage jobs that have been scheduled as a group as opposed to one by one, for example stoppin...
over 2 years ago in watsonx.ai 0 Future consideration

Data Refinery Flow - Move/Change Steps Order

I have been working hard on Watson Studio lately and notice a few things that could give Data Engineers the ability to be much more faster and productive while refining data sources using Data Refinery feature. One of the best ways to achieve data...
over 6 years ago in watsonx.ai 0 Planned for future release