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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:


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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

  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 186 of 15190

Pipeline API documentation needs enhancements

Customer complains about neither the main REST API doc https://cloud.ibm.com/apidocs/orchestration-pipelines, or the API sample doc: https://pipelines-api.s3-web.eu-de.cloud-object-storage.appdomain.cloud/ explains 1. JSON model of the pipeline an...
about 2 months ago in watsonx.ai 0 Submitted

Pipeline node level log should be accessible through API

Currently pipeline log accessible through API is a consolidated log across the whole pipeline without details on node level error, which is crucial for debugging but currently only accessible through cpdctl. Customers need pipeline node level log ...
about 2 months ago in watsonx.ai 0 Submitted

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.
7 months ago in watsonx.ai 0 Submitted

Need for IBM multimodal models, that will enable us to compete with Google and Microsoft.

Need for IBM multimodal models, that will enable us to compete with Google and Microsoft.
7 months ago in watsonx.ai 1 Submitted

Python 3.9 and Runtime environments in CP4D

As we’ve mentioned in regards to CP4D upgrades there are certain features/services that gets deprecated and removed in later versions For example Python 3.9 https://www.ibm.com/docs/en/cloud-paks/cp-data/4.7.x?topic=overview-whats-new#whats-new__d...
about 2 months ago in watsonx.ai 0 Submitted

watsonx.ai (SaaS) on IBM Cloud in other US location in addition to Dallas to be able to deploy DR scenarios

For regulation point of view, many US projects in my client require to have a DR strategy. We will deploy all watsonx services on Dallas but the idea would be to have Washington for non production environments and DR. Many watsonx components are a...
about 2 months ago in watsonx.ai 0 Submitted

Minimum resources should be reserved for opening notebook

Minimum resources should be reserved for opening notebook - while doing the development work (in WS - Spark or python runtime). Option to select the spark/python runtime after clicking on execute button in WS along with higher resource requirement.
2 months ago in watsonx.ai 0 Submitted

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 3 years ago in watsonx.ai 0 Planned for future release

watsonx.ai SaaS HIPAA ready

We have a large healthcare client that requires HIPAA-ready services due to the nature of the use case: Medical Document Classification using watsonx.ai and Discovery SaaS. This is a deployment progression blocker issue, equating to ~$500k in reve...
7 months ago in watsonx.ai 0

Documentation Issues - Cloud Pak for Data (#MLOps_AOT)

With this idea we want to point to the documentation issues we have encountered on various Cloud Pak for Data services.Example: 1-Documentation / Explanation of deployment space concept (WML) Deployment spaces are not exactly explained. How to use...
over 1 year ago in watsonx.ai 2 Under review