Skip to Main Content
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

My votes: watsonx.ai

Showing 43

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 ...
almost 4 years ago in watsonx.ai 2 Planned for future release

Ability to view all the actual features which were used in an experiment

If you run an experiment you have the option in the configuration to exclude some of the features from the data set. However, after the experiment finishes and the models are built you have no option to view all the features which were marked for ...
about 4 years ago in watsonx.ai 0 Planned for future release

Additional Integration Option for Bitbucket Server/Datacenter (On-Premise)

As a Cloud Pak for Data Integrator, I would like to integrate with Bitbucket Server/Datacenter which can use a personal access key or SSH keys for access. Currently we are blocked due to corporate policy forbidding the use of unsupported toolsets ...
about 4 years ago in watsonx.ai 3 Planned for future release

Export the analysis project to a zip file including Models and Modeler flows

In CP4D 2.5, user can not export models and modeler flows by "Exporting a project to desktop". Only data assets, notebooks, and Data Refinery flows can be included in exported zip file. https://www.ibm.com/support/knowledgecenter/ja/SSQNUZ_2.5.0...
about 4 years ago in watsonx.ai 0 Planned for future release

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

Keep an auditable log for webservice requests

In IBM SPSS C&DS, you can enable a real-time scoring webservice, and you can keep a configurable audit log where you can store all request data and all response data. In WML, you can deploy a model and automatically generate a webservice, ...
over 4 years ago in watsonx.ai 0 Planned for future release

Able to set MAP REDUCE PARAMETERS WHILE SUBMITTING A YARN JOB USING DSXHI

Yarn Container sizes are usually maintained as a global parameter with in cloudera. At times, these parameters need set by the client submitting the Yarn Job. This will not be an issue if the code submitted by the client is using livy/spark. howev...
over 4 years ago in watsonx.ai 1 Planned for future release

run SPSS processes in the cloud version

Need the ability to schedule a job for spss flows in the watson cloud version
over 4 years ago in watsonx.ai 1 Planned for future release

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.
over 4 years ago in watsonx.ai 0 Planned for future release

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 ...
over 4 years ago in watsonx.ai 1 Planned for future release