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,

  1. Post an idea

  2. Upvote ideas that matter most to you

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

Help IBM prioritize your ideas and requests

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.

Receive notification on the decision

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

Reminder: This is not the place to submit defects or support needs, please use normal support channel for these cases

IBM Employees:

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


Status Future consideration
Workspace Spectrum Conductor
Components Version 2.4.1
Created by Guest
Created on Mar 13, 2020

Agnostic/Generic Instance Groups and Resource Scheduler

We are in need of agnostic/generic instance groups and an   agnostic/genericresource scheduler.
*) agnostic/genericresource schedulerThere is a common need for our data scientists to schedule a "pure" non-Spark TensorFlow Python application to run.  We are needing a single pane of glass for job scheduling on our WMLA infrastructure.  Each server's CRON facility does not function well at all when needing a highly available and visible job scheduler.  Note, we need to be able to schedule an assortment of languages ex. Python, Perl, Julia and Bash.
*) agnostic/generic instance groups
We are seeing a growing need to massively scale non-Spark based applications on our WMLA infrastructure.  We are trying very hard to consolidate our AI and embarrassingly parallelizable workloads on our Power9 AC922 infrastructure.