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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

My ideas: Decision Optimization for Watson Studio

Showing 8

Ease call, edit, debug, and monitor OPL / CPLEX models within DSX

OPL is a much simpler way than Python for optimization modeling and today we provide only https://twitter.com/AlexFleischer1/status/909759411484274689 . If we had a simpler way OPL / CPLEX customers could move their models to DSX and DSX data scie...

More consistent handling of .csv data when manually duplicating/creating scenarios

Problem statement/pain points: When creating a new scenario via duplicating an existing one manually (not using Python code), there appear to be currently two ways to make a change to input data in a table of the new scenario: 1) change data direc...

Ability to add/remove rows in "Input Data" tables in Model Builder

Use case: I duplicate a scenario in the "Scenarios" panel. The scenario I'd like to test involves adding/removing one data point, e.g. adding a new machine in the predictive maintenance model or taking that machine out of service by removing it. ...

Support custom installed Python libraries

DO for DSX seems to not support custom installed Python libraries.I installed a Python library for performance profiling in the notebook for my optimization model using '!pip install yappi'.The notebook runs fine, but when importing as model, the ...

Full optimization modeling editor inside DO for DSX

The DO for DSX model editor needs to be on par with other optimization model editors (such as our own CPLEX Studio) to remain relevant and for people to buy in. It should include built-in capabilities also to do sensitivity analysis, monitor model...

Business ready dashboard sharing

The dashboard exported from DO for DSX is currently a json file. The business user has no way of easily opening and reviewing the dashboard. Ideally the dashboard should be packaged in a way that is directly consumable from the business user witho...

Reusable Gantt chart for Python models

Provide interactive Gantt that can easily connect to a Python CPLEX model, without writing code for the Gantt. (see e.g. how SPSS Modeler provides reusable and configurable visuals inside their new UI, we are looking for a similar experience, i.e....

Visual Modeler interface for CPLEX in DSX

In our current DSX offering we enable programmatic access with Python API for CPLEX engine to solve optimization problems. Leveraging this capability requires a user to have deep technical and programming skills. Iterating across scenarios with mo...