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 Planned for future release
Created by Guest
Created on Jan 13, 2020

Smart Document Understanding to produce a readable PDF from original scanned PDF

In solutions where text archives are digitized to become searchable in Watson Discovery, Smart Document Understanding is a promising new feature. However, it does not by side effect produce a searchable (text-based) PDF when OCRing a scanned PDF. This is a feature of IBM's BACA system. It allows for user to open, after finding a relevant document via Discovery,  what looks like the original scanned PDF but as a searchable/text-based PDF where user can now apply control-F to search where the term or phrase of interest occurs, and copy text passages into clipboard etc. 

Potential benefit is not estimated, but the benefit is clear for any Discovery use case when searching large enterprise collections that have been OCRd.