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).


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



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Ideas

    Showing 58 of 18257

    Need vcore-seconds and memory-seconds metric from Spectrum Conductor

    The 'Vcore Secs' and 'Mem Secs' are the time for which application has used the core and memory in a given run of a job. Currently these numbers are not available in Spectrum.
    over 5 years ago in Spectrum Conductor / Version 2.4.1 0 Future consideration

    Spark Driver slot allocation

    Currently spark executors and drivers are allocated same number of slots based on a configuration at the resource group level. This request is provide a separate configuration for driver slot allocation.
    over 5 years ago in Spectrum Conductor / Version 2.4.1 0 Future consideration

    Functionality/API to undeploy SIGs on hosts

    Spectrum conductor provides APIs and UI functionality to deploy SIGs to all or selected cluster members. There are at times corruption on the member nodes due to disk out of space or misconfiguration, or state issues. This feature should clean up ...
    over 5 years ago in Spectrum Conductor / Version 2.4.1 0 Future consideration

    dynamically move nodes from a resource group to another by the means of updating node attributes

    Background: today, it's hard to move nodes from one RG to another one using dynamically selection of hosts based on arttributes. We can tag a node with an attribute, but changing its value requires one to change ego.conf, remove the host from the ...
    over 5 years ago in Spectrum Conductor / Version 2.4.1 0 Future consideration

    FTP to transfer dataset (as webbased takes FOREVER

    No description provided
    about 6 years ago in Watson Machine Learning 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 7 years ago in Watson Machine Learning 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 7 years ago in Watson Machine Learning 2 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 - B...
    over 7 years ago in Watson Machine Learning 0 Not under consideration

    Support for SVM for WML (Model Builder)

    There are some algorithms available for WML though, SVM is not available.
    over 7 years ago in Watson Machine Learning 0 Functionality already exists

    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 7 years ago in Watson Machine Learning 0 Not under consideration

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