Skip to Main Content
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:

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:

Status Submitted
Workspace Watson Assistant
Created by Guest
Created on Jul 24, 2019

Using Fuzzy matches for Intent detection

Fuzzy matching is good at picking up single or plural versions of the same word in our Entities. However, we noticed that if the user request has the exact match with the entity, the correct intent, which uses this entity, is identified with the high confidence. If the user request does not have the exact match with the entity, the entity is still identified with the high confidence by fuzzy matching, however, the correct intent is not identified at all.

Example : Intent name: “MedicationOrder_medicationclass

User example: “does the patient take @medicationclass?”

Entity @medicationclass has “anticoagulants” as an item in its plural form.

Scenario 1: User request: “Does the patient take anticoagulants?” The correct entity “anticoagulants” is identified with the confidence of 1.00 The correct intent “MedicationOrder_medicationclass” is identified with the confidence of 0.94

Scenario 2: User request: Does the patient take anticoagulant? Notice that the request uses the singular version of “anticoagulants” The correct entity “anticoagulants” is identified with the confidence of 0.92 through the use of Fuzzy Matching The correct intent “MedicationOrder_medicationclass is not identified or its confidence is below 0.4