IBM Data and AI Ideas Portal for Customers


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:

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,

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  3. Get feedback from the IBM team to refine your idea

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The IBM team may need your help to refine the ideas so they may ask for more information or feedback. The product management team will then decide if they can begin working on your idea. If they can start during the next development cycle, they will put the idea on the priority list. Each team at IBM works on a different schedule, where some ideas can be implemented right away, others may be placed on a different schedule.

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Some ideas can be implemented at IBM, while others may not fit within the development plans for the product. In either case, the team will let you know as soon as possible. In some cases, we may be able to find alternatives for ideas which cannot be implemented in a reasonable time.

Additional Information

To view our roadmaps: http://ibm.biz/Data-and-AI-Roadmaps

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IBM Employees:

The correct URL for entering your ideas is: https://hybridcloudunit-internal.ideas.aha.io


Status Planned for future release
Created by Guest
Created on Dec 10, 2019

Automation of MDM customization deployment

MDM customization may require asset changes like Code changes, Properties changes, Database changes, etc. Currently the deployment of MDM customization is mostly manual approach. With clients moving to containerized solution, the requirement to automatically create a docker image with MDM customization is raising. We were asked regarding this from multiple clients.
Needed by Date Mar 31, 2020
  • Guest
    Jan 28, 2020

    Should provide a non interactive script for MDM customization for containerized instances instead of only having an interactive customization script. 

  • Guest
    Jan 28, 2020

    We are running into the same issues with the containerized version, need a better way to customize the deployment.