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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


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watsonx.ai

Showing 188

Creating a specific/Dedicated WML Runtime Node

Currently, WML does not allow scheduled runtime pod (enable pod affinity) on a dedicated node, Due to this we are increasing the Node Size where WML is running, based on the Load we need to scale accordingly. So we request to have a Dedicated Node...
about 1 year ago in watsonx.ai 0 Future consideration

Refining Error Messages for Better Service Association in Watsonx.ai

When associating services to a project, users are often confused because services like Watson Studio, which cannot be associated, are also displayed. Moreover, when trying to associate such non-associable services, an error message is displayed sa...
about 1 year ago in watsonx.ai 0 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...
over 5 years ago in watsonx.ai 2 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...
over 3 years ago in watsonx.ai 2 Future consideration

Enable undo in the freeform prompt window & detect paste to allow direct generation

When you create a prompt and erase a part by error, it is not possible to undo this change. This is very frustating especially if you are making a big prompt. I propose to allow to undo a command in the window. When you copy and paste a prompt fro...
about 1 year ago in watsonx.ai 0 Future consideration

watsonx.ai to allow clients to retrain the foundational models on any HPC computer available on clouds

Our customer participated in watsonx.ai early adoption program, and has raised critical points required for Enterprise consumption of foundational models. They want to retrain the foundational models in watsonx.ai hosted on any HPC computer availa...
about 1 year ago in watsonx.ai 0 Future consideration

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...
about 1 year 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...
about 1 year ago in watsonx.ai 0 Future consideration

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...
over 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...
over 2 years ago in watsonx.ai 0 Future consideration