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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

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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

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
Created by Guest
Created on Nov 20, 2017

Extend document removal API to work with removal queries

There have been several issues discovered when working with discovery and very dynamic date / agile prototyping. It is not possible (currently) to remove multiple documents, just 1 at a time. Often in the beginning of a project the data is ingested / removed or changed multiple times, which forces you to create new collections rather then just clear the index or remove a batch of documents. This should be enabled via a normal discovery query. All documents, that match this query, can be removed. As a result, the users have better possibilities to manage the collection, prototyping and data preparation can be done at higher speed and the overall performance can be improved.