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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


ADD A NEW IDEA

All ideas

Showing 15404 of 15404

Publish Package should allow you to enrich the package at time of publish

Currently to enrich the package you have to go to package and run the enrich package. If I am in publishing the package, I would like to be able to enrich the package there without having to open the Cognos browser.
almost 6 years ago in Cognos Analytics 0 Not under consideration

Enhance the TO_DATE scalar function for source data in week dependant format data

With the TO_CHAR scalar function i can convert a "normal" date format to a week dependant format.e.g. select to_char('30.03.2017', 'IYYY.IW.ID') from sysibm.sysdummy1 delivers 2017.13.4; fourth isoday (thursday) in week 13 of year 2017. The invers...
almost 7 years ago in Db2 for z/OS 0 Not under consideration

Rebuild should materialize pending changes on indexes

Recently we had big problems with index splits. Therefore we altered the bufferpool from 4K-pages to 8K-pages and run a rebuild. But we had to ran a reorg on the whole tablespace, which has about 1 billion rows and a few indexes, which we wanted t...
almost 7 years ago in Db2 for z/OS 1 Not under consideration

Asynchronous index rebuild at restart

When an index rebuild is required at the restart time, it can depend on the connection of the first user accessing the table. If the connection is killed, the index rebuild need to redone. It would be smarter to let the rebuild complete even if th...
about 8 years ago in Db2 / High Availability and/or Disaster Recovery 0 Not under consideration

watsonx.ai to allow clients to retrain the foundational models on any HPC computer available on clouds

Our customer participated in watsonx.ai early adoption program, and has raised critical points required for Enterprise consumption of foundational models. They want to retrain the foundational models in watsonx.ai hosted on any HPC computer availa...
about 1 year ago in watsonx.ai 0 Future consideration

watsonx.ai to have a feature for clients to bring their own foundational models and also be able to retrain these models for specific industry (telco)

Our customer participated in watsonx.ai early adoption program, and has raised critical points required for Enterprise consumption of foundational models. This feature being unavailable is a roadblock to their adoption of watsonx. They want to bri...
about 1 year ago in watsonx.ai 0 Under review

OOTB Integration of watsonx.ai with Enterprise data sources (Hadoop, Netezza, postgress, S3 for object storage, Cloudera data lake, Oracle, SQL Server) for fine-tuning foundational models for the organization

Our customer participated in watsonx.ai early adoption program, however, they have raised critical points required for Enterprise consumption of foundational models. This is a roadblock to their adoption of watsonx. One of them is the OOTB Integra...
about 1 year ago in watsonx.ai 0 Future consideration

Autolearning Feature to be available on IBM Watson Assistant CP4D

Our customers are moving from IBM Watson Assistant on IBM Cloud to IBM WA CP4D. They're heavily relying on AutoLearning feature available on WA IBM Cloud.
about 1 year ago in watsonx Assistant 1 Not under consideration

Allowing incremental load for datasets

The customer needs to upload incremental data on a daily basis.
about 1 year ago in Cognos Analytics / Data Access and Modelling 0 Not under consideration

Local TM1 Server Chore time in PAW Workbench

Our TM1 servers are placed in Sydney and development team is spread across geographies. While setting up chores from PAW workbench, we do not get to see local TM1 server time, as available in architect. We see local browser time in workbench that ...
about 1 year ago in Planning Analytics 1 Not under consideration