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,


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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

Analytics Engine

Showing 39

Views display varies per user

We have noticed that some cube views (precisely those that use the }Clients dimension) vary on the display depending on the user. This is because Column sizes are associated with MUNs not position. So we find ourselves with a different refinement ...
almost 5 years ago in Analytics Engine 0 Not under consideration

Extend policy and rule enforcement to Analytics Engine

Analytics Engine components such as Hive are an important part of the Data Lake story. Without Hive, external users are unable to query data in IBM Cloud Object Storage. However, Analytics Engine is not integrated with Watson Knowledge Catalog. Th...
over 6 years ago in Analytics Engine 0 Not under consideration

Ability to create customizable dashboards in 10.0.5.3 API connect analytics

Currently we do not have the ability to create customizable dashboards in 10.0.5.3 as we did previously in 10.0.1.7 version of PAI connect analytics. This impacts our business as we had previously created our customizable dashboards to have a more...
over 1 year ago in Analytics Engine 0 Not under consideration

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.
over 1 year ago in Analytics Engine 2 Not under consideration

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 ...
over 1 year ago in Analytics Engine 2 Not under consideration

Color-coding report tabs

Report pages can be rendered as tabs in Reporting. However, it is not easy to differentiate one page from another. It would be easier if the tabs could be formatted with different colors
over 4 years ago in Analytics Engine 1 Not under 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...
almost 2 years 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...
almost 2 years ago in Analytics Engine 0 Not under consideration

Kreditvergleich

Kreditvergleich - Für jeden Anlass den besten Kredit online finden.
about 4 years ago in Analytics Engine 1 Not under consideration

Could we integrate SPSS statistic into Cloud Pak for Data?

As Cloud Pak for Data is a unify data science platform. It would be more powerful if we integrate our strong offering- SPSS statistic.
about 2 years ago in Analytics Engine 0 Not under consideration

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