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).


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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.

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Search results: watsonx.ai

Showing 15 of 1002

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...
8 months ago in watsonx.ai 0 Not under consideration

Natural Language to API Payload – AI Ordering Agent

In enterprise platforms, placing orders for subscription-based products (e.g., trial plans, add-ons, upgrades) requires navigating through complex forms or understanding the internal API payload structure. This creates friction for business users ...
3 months ago in watsonx.ai 0 Under review

Upgrading WatsonX.ai BYOM Support for T5 Models with vLLM Runtime

Why Is It Useful? The watsonx.ai BYOM runtime v1.0 current reliance TGIS runtime limits WatsonX.ai's ability to support critical features like beam search, essential for improved output quality in applications such as machine translation. Customer...
6 months ago in watsonx.ai 0 Not under consideration

Batch Mode Inferencing for Enterprise-Grade Scalable AI Workflows and Data Processing with WatsonX

The WatsonX AI platform currently lacks support for batch mode inferencing, which is essential for handling large-scale data processing tasks required by our enterprise customers. Many of our users have identified the need to perform inferencing o...
7 months ago in watsonx.ai 0 Under review

Adding "thinking" parameter in Wastonx SDK and API for Granite-3.2-8b-Instruct to access the dynamic reasoning capability.

Reason:As per https://www.ibm.com/new/announcements/ibm-granite-3-2-open-source-reasoning-and-vision, granite 3.2-8b-Instruct comes with a dynamic reasoning capability which can be achieved using the "thinking" parameter by setting "thinking=True"...
7 months ago in watsonx.ai 0 Under review

A coherence-based AI memory system that overcomes catastrophic forgetting by using entropy-weighted resonance fields to enable interpretable, continual learning across tasks.

This idea introduces a coherence-based memory architecture for AI systems that solves the problem of catastrophic forgetting by dynamically weighting memory contributions using entropy and phase alignment. Unlike traditional models that rely on st...
5 months 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...
8 months ago in watsonx.ai 0 Planned for future release

Db2 type connection to support user specific connection hook parameters

Our Db2 database requires additional user specific parameters for a connection.Format: jdbc:db2://<<server>>:<<port>>/<<database>>:clientApplicationInformation=<<xxxxx>>;clientAccountingInformation=&...
about 2 years ago in watsonx.ai 0 Future consideration

AutoAI Similar Capability for Evaluating LLMs

It would be useful to setup benchmark tests for different runs (models, parameters, etc.) with an easy to test toolset. It helps Data Scientists and AI Engineers to evalutate the output of models with scale.
over 2 years ago in watsonx.ai 0 Future consideration

Model Development experiment Tracking with Git-integrated Projects #emea #dach

No possibility is currently given to track the model development. Neither to track parameters nor to algorithms. This represents a missing building block in the model management process. Thus, the requirement is a tracking function for git integra...
about 3 years ago in watsonx.ai 0 Future consideration

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