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 Data & AI Roadmaps (http://ibm.biz/Data-and-AI-Roadmaps) - Use this site to view roadmaps for Data & AI products.

IBM Employees should enter Ideas at https://hybridcloudunit-internal.ideas.aha.io/


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Watson Studio (Deploy)

Showing 10

Integrate authentication and API docs of CP4D

Today, there are 2 apidoc of CP4D 2.5. 1. Data API (about Data Assets, Jobs, etc) https://cloud.ibm.com/apidocs/watson-data-api-cpd 2. WML API (about Models, Deployment spaces, etc) https://watson-ml-v4-api.mybluemix.net/index-local.h...
over 3 years ago in Watson Studio (Deploy) 6 Delivered

Deployed models of modeler flow or python scrypt should be version management or deployment management more easily.

Currently CP4D does NOT have any version management or deployment management of deployed models. As workaround, our customers create new files as difference name with older files so as to manage version or deployment.
over 3 years ago in Watson Studio (Deploy) 0 Delivered

Show batch deployment URL in web interface

In WML 1.2.3.x the REST API URL for triggering batch jobs could be directly retrieved from the web interface. This allows developers easy access without having to look up the URL pattern.
about 2 years ago in Watson Studio (Deploy) 0 Delivered

More control over model train/test/holdout data cuts

Given that model can be affected by the set of data used for training it, it would be nice to have better control over how the data is split up. A fairly easy improvement is to allow the user to set a seed for controlling the splits, so you can r...
almost 6 years ago in Watson Studio (Deploy) 2 Delivered

Allow models to have explicit train/test files

Sometimes we have specific data we want to use for training/testing of a model. We should support that instead of doing arbitrary splits.
almost 6 years ago in Watson Studio (Deploy) 1 Delivered

Update WML CE Tensorflow Version to 2.2+

The Tensorflow versions in the current WML CE Conda stream are currently significantly out of date. Code written in TF2.2+ is not easily backwards compatible with that of TF2.1, which is now over a year old. TF2.2+ brings significant improvements ...
over 2 years ago in Watson Studio (Deploy) 1 Delivered

wml upgrade scikit-learn to 0.19

wml api support 0.17. most recent version is 0.19, which includes new features and bug fixes. please consider upgrading.
over 5 years ago in Watson Studio (Deploy) 1 Delivered

Pipelines should fail loudly

Right now, users may discover that a pipeline has stopped or failed only when a part or all of their real-time dashboard stops updating, or when their object storage is no longer updating with new files.
almost 6 years ago in Watson Studio (Deploy) 6 Delivered

Documentation outdated

https://dataplatform.cloud.ibm.com/docs/content/wsj/analyze-data/ml-deployed-func-mnist-tutorial.html?audience=wdp used TF version 1.5 not supported anymore, please update
over 3 years ago in Watson Studio (Deploy) 2 Delivered

Ouf of date: Tutorial Community Notebook: Putting a human face on machine learning

The community notebook "Putting a human face on machine learning" is not in the same state as the corresponding tutorial, but referenced in it. Possibly every learner will stumble upon this - huge demotivator. print scoring.text yields this 401...
over 5 years ago in Watson Studio (Deploy) 2 Delivered

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