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).


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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:


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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.

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.

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IBM Employees should enter Ideas at https://ideas.ibm.com


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watsonx.ai

Showing 43

Search project assets by keywords

Problem: We try to search a specific asset in the project, but fail to get it if we didn't write the whole asset path or name from begining of the asset path. This would be very inconvenient when we got lots of data assets in the project. Expected...
over 1 year ago in watsonx.ai 0 Planned for future release

Workflow Engine

CP4D has so many components that run simultaneously, however, the orchestration is not there. In Data & AI platforms there should be an orchestration framework that gives the ability to build and maintain workflows. Hence, we can automate the ...
almost 4 years ago in watsonx.ai 1 Planned for future release

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...
about 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 ...
almost 4 years ago in watsonx.ai 2 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

Integration of multiple data sources on dashboard

the problem statement/pain points: Multiple data sources cannot join on dashboard selectes sources in now.( as a work around we create view in database side.)
almost 5 years ago in watsonx.ai 0 Planned for future release

Bitbucket integration - updating master instead of updating the branch

Bitbucket integration - updating master instead of updating the branch GIT related issues - Create a new repository with no folder structure. Use this GIT repository for a new Project and when doing push, it fails. - OCBC is planning to have al...
about 5 years ago in watsonx.ai 1 Planned for future release

CUH monitor consolidation

-Use a real-life scenario to explain the problem statement/pain points Users know how many CUHs they are using from Watson Studio administration console. Users know how many CUHs they are using from IBM Cloud console. Users don't know the exact...
almost 6 years ago in watsonx.ai 0 Planned for future release

CP4D: High Availability (HA) and disruption free upgrades during version /OCP upgrades.

Our customer is requiring a “highly available” deployment (described as 99.5% up time) to support a business critical workload. They are using many of cloud Pak for data services. However , they are running few mission critical data analytics pipe...
7 months ago in watsonx.ai 0 Planned for future release

Export a trained model and its environment for deployment to existing offerings & devops pipelines

Once a model is trained and ready to be deployed, there should be an integrated way to publish the model and its dependencies to existing on-prem or cloud DevOps pipelines
over 3 years ago in watsonx.ai 0 Planned for future release

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