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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:


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 158 of 14697

watsonx.ai to have a feature for clients to bring their own foundational models and also be able to retrain these models for specific industry (telco)

Our customer participated in watsonx.ai early adoption program, and has raised critical points required for Enterprise consumption of foundational models. This feature being unavailable is a roadblock to their adoption of watsonx. They want to bri...
9 months ago in watsonx.ai 0 Under review

OOTB Integration of watsonx.ai with Enterprise data sources (Hadoop, Netezza, postgress, S3 for object storage, Cloudera data lake, Oracle, SQL Server) for fine-tuning foundational models for the organization

Our customer participated in watsonx.ai early adoption program, however, they have raised critical points required for Enterprise consumption of foundational models. This is a roadblock to their adoption of watsonx. One of them is the OOTB Integra...
9 months ago in watsonx.ai 0 Future consideration

Allow for adding packages and custom environments for WML.

This will allow the users to create custom environments and add needed packages in the customization section. This way all the needed packages are installed at the time the environment is spun up. This ability is currently available when creating ...
over 1 year ago in watsonx.ai 0 Future consideration

Adding packages and custom environments to RStudio.

This will allow the users to create custom environments and add needed packages in the customization section. This way all the needed packages are installed at the time the environment is spun up. This ability is currently available when creating ...
over 1 year ago in watsonx.ai 0 Future consideration

Sort from one menu

We can sort by column by "Sort ascending" or "Sort descending" on Operation menu.(Fig.1)But when we would like to sort data by multiple column, we need to use arrange function on the box there is "Code an operation...". (Fig.2)So we would like to ...
over 4 years ago in watsonx.ai 2 Planned for future release

Workflow Engine

CP4D has so many components that run simultaneously, however, the orchestration is not there. In Data & AI platforms there should be an orchestration framework that gives the ability to build and maintain workflows. Hence, we can automate the ...
almost 4 years ago in watsonx.ai 1 Planned for future release

WML multiprocessing support

Multiprocessing using Pythons multiprocesing library works with Notebooks in Watson Studio, but not for deployed WML models. Multiprocessing for DOCPLEX MILP models can significantly reduce time and resources used for solving a set of several mode...
almost 3 years ago in watsonx.ai 2 Future consideration

Add "recovering" state into spark-magic

If the Spark Driver itself crashes(Due to cluster or Job missconfiguratons) and Livy tries to restart it but failes, Livy will get leave the session in Recovering state and never remove it until the Livy Recovery Directory (Specified in /opt/ibm/d...
about 5 years ago in watsonx.ai 2 Planned for future release

WML pod logging for data scientist

Python functions can run in a online deployment but as a data scientist i can't see te container/ pod logging of this function. The logging of the runs of the containers can be viewed by looking through administration in the logging of the pods (P...
about 2 years ago in watsonx.ai 0 Future consideration

CRAN support for customizable R environments

Right now, users have the option to customize python runtime definitions in Watson Studio. In addition to being able to customize different types of environments (as requested in CPDIDEAS-I-994), we would like to be able to customize R runtime def...
about 2 years ago in watsonx.ai 0 Future consideration