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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All ideas

Showing 15359

Orchestration Pipeline to be compatible with OpenShift Pipeline

The client has deployed cluster-wide OpenShift Pipeline for any automation/configuration work that could be used. This in turn has failed Orchestration Pipeline to successfully deploy its jobs as they fail due to using OpenShift Pipeline service a...
about 2 months ago in DataStage 0 Under review

Comprehensive API Usage Reporting for Reference Data

Problem Statement:Currently, there is no dedicated reporting mechanism for API usage related to Reference Data in IKC-RDM, hindering visibility into API performance and usage patterns. Proposed Solution:Implement a comprehensive A
about 2 months ago in Cloud Pak for Data System 0 Submitted

XML Support for Reference Data Request/Response from IKC via API

Problem Statement: Currently, IKC only supports JSON format for API requests and responses. This limits flexibility for users who prefer or require XML format. Proposed Solution: Expand IKC's API support to include XML format for both requests and...
about 2 months ago in Cloud Pak for Data System 0 Submitted

Automated Data Mapping for RDM Data Imports

Problem Statement: Currently, IKC-RDM requires manual mapping of data elements to their corresponding column names and data types when importing data from files like CSV, XML, or JSON. This can be time-consuming and error-prone, especially for dat...
about 2 months ago in Cloud Pak for Data System 0 Submitted

Automated Reference Data Cleanup and Versioning Maintenance

Problem Statement: Currently, IKC creates a new version for each updated dataset, leading to the accumulation of older versions. There is no built-in mechanism to automatically purge older versions or retain only a specific number of recent versio...
about 2 months ago in Cloud Pak for Data System 0 Submitted

Automated Knowledge Accelerator Data Integration for IKC-RDM

Problem Statement: Currently, updating Knowledge Accelerator (KA) data within IKC-RDM (Reference Data Management) requires software upgrades or manual intervention. This limits the flexibility and responsiveness of the system. Proposed Solution: I...
about 2 months ago in Cloud Pak for Data System 0 Submitted

GIT Integration for Reference Data Management (Source Control Tool)

Problem Statement: Currently, managing code related to Reference Data MAPs, SETs, RD-Types, and small static Reference Data in IKC involves manual code copying across environments, leading to version control challenges and potential deployment inc...
about 2 months ago in Cloud Pak for Data System 0 Submitted

Extended Composite Key Support in IKC-RDM

Problem Statement: Currently, IKC-RDM limits the creation of composite keys to a maximum of 6 columns. This restriction can be insufficient for certain reference data sets that require more columns to uniquely identify records. Proposed Solution: ...
about 2 months ago in Cloud Pak for Data System 0 Submitted

Automated Reference Data Synchronization with Datalake HIVE Tables

Problem Statement: Currently, synchronizing Reference Data with Datalake and accessible from Hive Tables is a manual process involving data export from IKC and manual transfer to the Azure cloud platform. This approach is inefficient and error-pro...
about 2 months ago in Cloud Pak for Data System 0 Submitted

Automated Reference Data Synchronization with Azure Databricks Delta Tables

Problem Statement: Currently, synchronizing Reference Data with Azure Databricks Delta Tables is a manual process involving data export from IKC and manual transfer to the Azure cloud platform. This approach is inefficient and error-prone. Propose...
about 2 months ago in Cloud Pak for Data System 0 Submitted

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