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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


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watsonx.ai

Showing 190

Orchestration Pipeline should allow users to automate retrying execution on failed node during pipeline job execution

Currently there is no way to 'continue/trigger' a task execution as part of a job which ran but say failed on a certain task; here is the scenario: assume pipeline has following structure: [node1] -> [node2] -> [node3] -> [node4] in case ...
3 months ago in watsonx.ai 0 Under review

Support needed to deploy Shiny apps using a custom image

Some packages in R require additional dependencies to install and load the library. For example: odbc driver for RODBC, or GAL/GEOS/PROJ C++ dependencies for many popular geospatial libraries (sf, rgdal, tmaptools etc.). These dependencies can be ...
over 1 year ago in watsonx.ai 1 Future consideration

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

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 ...
3 months 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 1 year ago in watsonx.ai 0 Future consideration

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...
3 months ago in watsonx.ai 0 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 ...
about 5 years ago in watsonx.ai 1 Planned for future release

VS Code hosted integrated in Watson Studio

Many data science code development tasks are analytical and can be done through the notebooks available. There are however tasks that require more sophisticated code develpment for which notebooks are not as suitable. For these it would be benef...
over 2 years ago in watsonx.ai 1 Planned for future release

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...
3 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.
3 months ago in watsonx.ai 0 Submitted