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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 74

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

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

#cpfield Refinery data preview UI enhancements

The Refinery's data preview UI and the Default Catalog's data preview UI are similar, but the Refinery's UI can't see the catalog information for an item. We want CP4D to be able to refer to the catalog information of items from the Refinery data ...
over 3 years ago in watsonx.ai 0 Future consideration

Delete scripts, Shiny apps from Projects

In a Watson Studio Project it is possible to delete many types of assets: data assets, notebooks, refinery flows, ... To delete an asset from a project, we can choose the Delete or the Remove option from the action menu next to the asset on the pr...
over 3 years ago in watsonx.ai 0 Future consideration

Ability to import notebooks to access functions when running a notebook as a job

Within the JupyterLabs IDE users are able to use a package like https://pypi.org/project/import-ipynb/ to import local notebooks and access the functions etc within. This does not function when notebooks are run as Jobs. Scenario: Notebook A impor...
about 4 years ago in watsonx.ai 0 Future consideration

Provide a resource monitor when running a jupyter notebook

Provide a resource monitor when running a jupyter notebook. when I choose a runtime resource for a notebook, e.g. "GPU v100 runtime 2.2 on python 3.9", I get 16G gpu-memory, so it's important that I monitor the realtime consumption for the gpu-mem...
about 2 years ago in watsonx.ai 0 Future consideration

Allow us to deploy AI models to google sheets or zapier for no coder's like me

I would like to make predictions from data I host on a google sheet, it takes way too much technical work to get predictions via api
over 2 years ago in watsonx.ai 0 Future consideration

Compare Model Quality and Champion Model Identification #emea #dach

Currently, there is no possibility to compare different model runs and rank them using self-defined metrics. The requirement is related to model tracking (CPDIDEAS-I-1385). Model training via API should be used to store metrics, then identify cha...
over 2 years ago in watsonx.ai 0 Future consideration

WS Project Export should include ALL project objects including AutoAI Experiments

When a business user perfroms an Project Export they expect that all object associated with a Watson Studio project will be exported. Users often use Project Exports as a method to recover a Project (backup-recovery scenario). However, AutoAI-Expe...
almost 3 years ago in watsonx.ai 0 Future consideration

Allow db2 operator in streams flow to set batch sizes for inserts.

Allow db2 operator in streams flow to set batch sizes for inserts.
over 5 years ago in watsonx.ai 0 Future consideration