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IBM Data Platform Ideas Portal for Customers


This portal is to open public enhancement requests against products and services offered by the IBM Data Platform 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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Ideas

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Support meta llama-3-3-70b-instruct on watsonx.ai on Gaudi 3 accelerators

Client needs to scale out an application using watsonx.ai (5.2) to a cluster with Intel Gaudi 3 GPUs. The application has a dependency on llama-3-3-70b-instruct. Multiple prompts have been handcrafted to give exact correct result using this specif...
1 day ago in watsonx.ai 0 Submitted

Improve results when using Batch deploy mode for Machine Learning Models

After you create a machine learning model (using AutoAI, for example), you can choose to deploy it in online or batch mode. When someone runs the Batch deploy mode against a dataset (a CSV file, for example), the results usually show only the pred...
9 days ago in watsonx.ai 0 Submitted

Please certify the product IBM Data Replication IMS for z/OS Remote Source to run on zCX and/or Red Hat Openshift

We’ve achieved excellent results with the Db2 for Remote Source product, as it has significantly reduced CPU usage on the mainframe—an area where traditional data replication has historically been one of the top resource consumers. With the introd...
about 2 months ago in Data Replication: IMS / VSAM  / Data Replication for IMS for z/OS 1 Planned for future release

Watsonx.ai should alert users to ensure the Asset Base Model exists in the CP4D Watsonx instance where the asset is being deployed

In a production environment, models & assets are built and tested on TEST environments. Only after validation is the asset exported from the TEST env and imported into the Pre-Prod and later PROD env. BUT as the asset export doesn't include th...
12 days ago in watsonx.ai 0 Submitted

provide example model deployment configurations

Provide repository of example recipes that truly reflects most possible LLMs (standard, supported - if possible BYO) configurations for different GPU configurations (e.g., gpt-oss 120 B configurations are not available for any configuration that i...
10 days ago in watsonx.ai 1 Submitted

show available LLMs that can be deployed on on prem cluster configuration

Software hub shall show list of LLMs available and ready for specific on prem environment. user can choose a model which fits to the settings on prem (sizing, GPU) and triggers deployment to cluster via UI. UI informs the customer whether model is...
10 days ago in watsonx.ai 1 Submitted

enable text extraction (WDU) on GPU

Watsonx.ai shall allow running of text extraction (Watson Data Understanding - WDU) on GPU for faster text extraction performance also. (Note - idea elicitated throughout a TEL engagement with the customer)
10 days ago in watsonx.ai 1 Submitted

Include Custom Runtime Environments in Deployment Space Export/Import

When users migrate Deployment Spaces between IBM Cloud Pak for Data environments (e.g., for disaster recovery or CI/CD purposes), custom runtime environments used by assets are not included in the export/import process. This limitation causes impo...
6 months ago in watsonx.ai 0 Under review

Option to disable/enable autosave feature of SPSS Modeler

Please provide functionality to disable/enable the autosave feature of SPSS Modeler in CP4D per stream configurations. This would allow more functional parity between the local SPSS Modeler application and CP4D SPSS Modeler and more straight forwa...
19 days ago in watsonx.ai 0 Submitted

Keep and maintain at least 2 or 3 Python and R runtime versions in each release of CP4D

Multiple companies and industries work with CP4D for data science models. These models use multiple versions of Python or R runtimes and different open-source libraries that are compatible with the runtime version used to build the model. Clients ...
over 1 year ago in watsonx.ai 2 Not under consideration