IBM Data and AI Ideas Portal for Customers


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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:

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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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  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


Workspace Cloud Pak for Data
Created by Guest
Created on Apr 20, 2021

Support Bulk Import for Custom Attribute and Data Class

术语自定义属性最好支持批量导入,数据类的匹配条件也支持批量导入,如通过CSV文件,添加一个新的定制字段列等方式。(Term custom attributes should preferably support bulk import, and data class matching conditions should also support bulk import, e.g. Via CSV file, adding a new custom field column, etc.)

Needed by Date May 31, 2021
  • Admin
    Emma Tucker
    May 11, 2021

    Hi - Thank you for your idea. We currently support import of terms with custom attributes. In our next release this summer, we will support import of data class matching methods.