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,
Post an idea
Upvote ideas that matter most to you
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.
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.
Who would benefit from this IDEA?
As an analyst, I have searched my company's digitized archives (or previous projects, history, contracts) and now am able to search within the original document the larger context of the passages matching my search results.
Do not place IBM confidential, company confidential, or personal information into any field.