IBM Data and AI Ideas Portal for Customers


This portal is to open public enhancement requests against products and services offered by the IBM Data & AI organization. To view all of your ideas submitted to IBM, create and manage groups of Ideas, or create an idea explicitly set to be either visible by all (public) or visible only to you and IBM (private), use the IBM Unified Ideas Portal (https://ideas.ibm.com).


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:


Search existing ideas

Start by searching and reviewing ideas and requests to enhance a product or service. Take a look at ideas others have posted, and add a comment, vote, or subscribe to updates on them if they matter to you. If you can't find what you are looking for,


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


Specific links you will want to bookmark for future use

Welcome to the IBM Ideas Portal (https://www.ibm.com/ideas) - Use this site to find out additional information and details about the IBM Ideas process and statuses.

IBM Unified Ideas Portal (https://ideas.ibm.com) - Use this site to view all of your ideas, create new ideas for any IBM product, or search for ideas across all of IBM.

ideasibm@us.ibm.com - Use this email to suggest enhancements to the Ideas process or request help from IBM for submitting your Ideas.

IBM Employees should enter Ideas at https://ideas.ibm.com


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Status Not under consideration
Workspace Product Master
Created by Guest
Created on Jan 14, 2021

RELATED IDEAS

Allow configurable setting for com.ibm.ml.util.HTTPUtil connection.setConnectTimeout() and connection.setReadTimeout()

Machine Learning attribute classification fails intermittently due to read timeout. The (java) workflow engine is waiting on the machine learning (python) process to complete. For large datasets, there’s no way to speed it up. The machine learning python process will only use a single CPU. We have fast CPUs so throwing more hardware at the problem won’t solve it. In product master 12.0.2, the java workflow engine connection and read timeouts are hard coded to 30 seconds. This is a problem that has no apparent workaround. The value would be that customers would be able to have a functional machine learning process for larger product categories.

Needed by Date Jan 14, 2021

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