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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 192

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

Extend policy and rule enforcement to Watson Studio

Policies and rules defined in the Knowledge Catalog do not extend to Watson Studio. The benefits of the catalog are the ability to quickly serve data teams assets from across the organisation to enable self-service analysis, "making data a trusted...
over 6 years ago in watsonx.ai 0 Not under 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

Bug Fix - Modfy Session expiration time due to inactivity

WSL v 1.2.3 has been configured for 15 minutes inactivity time-out using the command below. (15 mins is in line with OCBC's security policy) Example.$cat /user-home/_global_/config/jwt/expiry.config xxx It is expected that the system will only log...
over 5 years ago in watsonx.ai 1 Planned for future release

Support deploying R models as a web service

Big companies that started earlier with ML, started with R, as it was not until 2017 that python surpassed R as the preferred language for ML. Still many companies have models running in batch on Spark clusters and those models are implemented in ...
over 4 years ago in watsonx.ai 2 Planned for future release

#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 ...
about 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

virtual deployment

A large CPD customer from Taiwan have about 2000 GPU nodes using Slurm to running Kubernetes for AI jobs now, They plan to build CP4D on another stand alone cluster. They want CP4D utilize the GPU cluster but no need brake out existing mechanism.
about 5 years ago in watsonx.ai 0 Planned for future release