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

watsonx.ai

Showing 208

This topic is about too many endpoint for inferencing in foundation models through watsonx which makes application development harder to do.

This topic is about too many endpoint for inferencing in foundation models through watsonx which makes application development harder to do. We are facing a big workload with a customer (Banco do Brasil) due to too many endpoint for inferencing wa...
10 days ago in watsonx.ai 0 Submitted

Guardrails for blocking content in German Langauge

Currently, Guardrails for blocking incoming and outgoing messages from a LLM are only available in English. It would be very useful to be able to block certain content in German language, too.
2 days ago in watsonx.ai 0 Submitted

Support Kerberos credentials in Data Refinery

Currently as per the most recent versions of Cloud Pak for Data we can't use our connection to Apache Hive on Cloudera 7 because of the fact that we strictly use Kerberos authentication there. We can't use simple passwords. This makes it so that c...
6 days ago in watsonx.ai 0 Under review

Support Apache Hive connector in AutoAI with Kerberos Authentication

We are exploring ways to utilize the low-code tools available in CP4D to process the data straight from our main data source with is a Cloudera cluster. We connect to it using Apache Hive with Kerberos Credentials. Unfortunately we have seen mixed...
2 days ago in watsonx.ai 0 Submitted

Enable different sampling methods in Data Refinery

In the current version of Data Refinery we have noticed that there's no way to change the sampling method for the source data. It's always top rows only. With the additional limitation of 10000 samples only this makes the Data Refinery Flow view s...
5 days ago in watsonx.ai 0 Submitted

Configure Waston Assistant extension timeout

Watson Assistant custom extensions (specified with an OpenAPI json file) timeout after 30 seconds. It would be nice to configure a longer timeout, at least if WA is running on on-prem hardware instead of IBM's cloud service.
3 days ago in watsonx.ai 0 Submitted

Support model architecture to allow using models like M2M100 in watsonx.ai software (on-prem, on cloud pak for data, OpenShift)

Supporting this Many-to-Many multilingual translation model allows customers to provide translations services via a single LLM for a large number of languages. This allows for lean operating cost of such a translation service within a customer's L...
17 days ago in watsonx.ai 0 Submitted

Optimizing WML Deep Learning Resource Allocation and Scheduling in watsonx.ai

Resource allocation limits: Set GPU or resource limits for each watsonx.ai project to ensure efficient resource usage across multiple projects. This will prevent any one project from monopolizing resources and ensure that other projects can run sm...
4 days ago in watsonx.ai 0 Under review

Officialy document default parameters of IBM-provided models and provide a procedure to apply a custom configuration

When deploying IBM-provided model, the only configuration changes that are available are: - sharding - deploy in MIG nodes Client want to be able to deploy IBM-provided model with a custom configuration in order to : - deploy on a specific MIG ins...
5 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 ...
10 months ago in watsonx.ai 1 Not under consideration