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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 11

FTP to transfer dataset (as webbased takes FOREVER

No description provided
about 3 years ago in Watson Studio (Deploy) 0 Not under consideration

Add custom loss function support in WML

Today when you train a deep learning model using a custom loss function, you cannot deploy it in WML. Custom loss functions are very important when you are dealing with unusual specific cases.
almost 4 years ago in Watson Studio (Deploy) 1 Not under consideration

Why can you just link me here?

//WHY CANT YOU JUST LINK ME INSTEAD OF TELLING ME THIS?// NOTE: you must manually construct wml_credentials hash map below using information retrieved // from your IBM Cloud Watson Machine Learning Service instance
over 4 years ago in Watson Studio (Deploy) 2 Not under consideration

Add functionality to export tensorflow (and keras) models as tensorflow.lite and tensorflow.js to support running on devices and in the browser

Tensorflow.lite allows running models on devices rather than having to use server side apis. Similarly, it would be great if we could export tensorflow.js code. This is similar in concept to Core ML but Core ML only supports ios.
over 4 years ago in Watson Studio (Deploy) 0 Not under consideration

Add WML credentials a la 'Insert to Code'

Insert to code functionality is great to enable quick access to data - I should be able to do the same thing for Watson services (e.g. WML, Image Recogniton) to quickly add credentials to these services into my notebook, without having to go to th...
over 4 years ago in Watson Studio (Deploy) 0 Not under consideration

More major algorithms for WML model builder

MS Azure ML and other ML vender solution has more algorithms than WML Model builder provides. i.e., Azure ML has more algorithms; https://docs.microsoft.com/en-us/azure/machine-learning/studio/algorithm-choice WML only has supervised learning - ...
over 4 years ago in Watson Studio (Deploy) 0 Not under consideration

Cheating Sheet for WML (Algorithm Selection)

WML provides the automated model build experience though, it would be nice to have the cheating sheets for the algorithm selection as to the user will be able to understand how it should work.Example: Microsoft Azure has; https://docs.microsoft.co...
over 4 years ago in Watson Studio (Deploy) 0 Not under consideration

Read/Write files on ICOS (IaaS) from/to WML model builder

Currently WML (Watson Machine Learning) model builder allows to read/write files on ICOS (PaaS) but not with ICOS (IaaS). Some data required to be stored on private storage and therefore data to be trained/retrained also on ICOS IaaS.
over 4 years ago in Watson Studio (Deploy) 0 Not under consideration

Allow Train/Test/Holdout to be adjustable in Manual WML model

I can't adjust these -- I should be able to.
over 4 years ago in Watson Studio (Deploy) 1 Not under consideration

wml api to support statsmodel

the only current model lib support is scikit-learn. statsmodel has more models that are not supported by scikit-learn. http://www.statsmodels.org/stable/index.html
about 5 years ago in Watson Studio (Deploy) 1 Not under consideration