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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 (

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 ( - Use this site to find out additional information and details about the IBM Ideas process and statuses.

IBM Unified Ideas Portal ( - Use this site to view all of your ideas, create new ideas for any IBM product, or search for ideas across all of IBM. - Use this email to suggest enhancements to the Ideas process or request help from IBM for submitting your Ideas.

IBM Data & AI Roadmaps ( - Use this site to view roadmaps for Data & AI products.

IBM Employees should enter Ideas at



Analytics Engine

Showing 45 of 13628

Improve Fastpath parsing performance

Rulesets with large decision tables and using Fastpath execution modes are taking a very long time to parse during a deployment. Improve parsing performance for rulesets with large decision tables using Fastpath execution modes.
about 1 month ago in Analytics Engine 2 Submitted

Fully asynchronous ruleset updates

Currently, when a new ruleset is deployed, we are seeing an increase in response times for requests while the new ruleset is being parsed. Make the update of a ruleset fully asynchronous, extending further the current asynchronous ruleset parsing ...
about 1 month ago in Analytics Engine 2 Submitted

Reservation of nodes for spark job/ Labeling, Taint and Toleration of workers and spark pods 

As an CP4d service provides we would like to use special worker nodes only for spark job execution called via the pyspark API. One reason for this is, that we sometimes see that the spark jobs use up all resources. In this scenario we would like a...
8 months ago in Analytics Engine 0 Under review

Allow displaying spark CPU and memory values on Monitoring page

Currently Spark runtimes do not register the pods on the Spark side with the runtimes framework. So, Monitoring page show only 1vCPU and 1G RAM regardless of the size of the Spark environment choosen is only the proxy pod on the Jupyter Client sid...
about 1 year ago in Analytics Engine 0 Future consideration

Custom Images for Spark

Python packages can currently be added using the approach described in However, some Python packages use shared libraries that may not be instal...
over 1 year ago in Analytics Engine 0 Future consideration

Improve Cognos Analytics integration with Salesforce

Current state IBM Cognos Analytics ability to integrate with / pull metadata from Salesforce is extremely limited. Unable to select tables/schemas using new "Manage" administration functionality or create data modules using Salesforce data. Legacy...
11 months ago in Analytics Engine 0 Future consideration

Include notifications for recent changes (API Connect v10)

This is for API-Connect v10 (OVA install). In v5, there was a feature where one could view a notification bell in the top right corner when logging into the cloud manager or api manager that would show recent changes (Ex: xyz api was published, et...
11 months ago in Analytics Engine 1 Future consideration

Four steps of writing a literature review

1. Preparation The first step involves aligning yourself with your topic so that you gain a more comprehensive picture of the area of study. This includes making a list of key terms that will serve as the basis for the next step. Read a recent pub...
6 months ago in Analytics Engine 1 Not under consideration

Mechanism is required to clean up spark volume efficiently

We have found a correlation between the transitory errors and storage space used for spark volume, we have to manually clean up the spark volume to get rid of the issue. Manually clean up is not recommended in PROD by Anthem customer, moreove we d...
6 months ago in Analytics Engine 0 Under review

Error/success messages with PAW action buttons

When we use the current PAW action buttons to launch the processes, the error or success messages that appear are not user-friendly for a simple user.
over 3 years ago in Analytics Engine 0 Not under consideration