IBM Data and AI Ideas Portal for Customers


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:

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

Help IBM prioritize your ideas and requests

The IBM team may need your help to refine the ideas so they may ask for more information or feedback. The product management team will then decide if they can begin working on your idea. If they can start during the next development cycle, they will put the idea on the priority list. Each team at IBM works on a different schedule, where some ideas can be implemented right away, others may be placed on a different schedule.

Receive notification on the decision

Some ideas can be implemented at IBM, while others may not fit within the development plans for the product. In either case, the team will let you know as soon as possible. In some cases, we may be able to find alternatives for ideas which cannot be implemented in a reasonable time.

Additional Information

To view our roadmaps: http://ibm.biz/Data-and-AI-Roadmaps

Reminder: This is not the place to submit defects or support needs, please use normal support channel for these cases

IBM Employees:

The correct URL for entering your ideas is: https://hybridcloudunit-internal.ideas.aha.io


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Cloud Pak for Data

Showing 161

Additional Implementations of Hyperparameter Optimization Algorithms

The current methods for hyperparameter optimization available in WMLA are limited. While the new BYOF framework allows end users to wrap implementations of additional methods, it would be desirable to have a few more ones supported by default:- A...
over 1 year ago in Cloud Pak for Data / Watson Machine Learning Accelerator 0 Future consideration

Make Bayesian Optimization parallelize more

Currently the implementation of Bayesian Optimization in WMLA is completely sequential. This renders it essentially useless for models with long training times. It would be ideal to parallelize it more. There are two angles to this: first, at it...
over 1 year ago in Cloud Pak for Data / Watson Machine Learning Accelerator 0 Under review

Include all metrics (not just the one being optimized) in the output of GET hypersearch

currently when one queries the results of a hyperparameter optimization round in Watson Machine Learning Accelerator, e.g. withhttps://<>:9243/platform/rest/deeplearning/v1/hypersearch/username-hpo-860740667802465... only the metric being op...
over 1 year ago in Cloud Pak for Data / Watson Machine Learning Accelerator 0 Future consideration

ICP integration with RTC (Rational Team Concert)

We are implementing a solution with ICP4D and ICP4I for biggest bank in India. Bank has an organization policy to maintain code base using RTC. However ICP does not have any integration with RTC. We understand there could be indirect integration w...
over 1 year ago in Cloud Pak for Data / Cloud Pak for Data On Premises Software 1 Not under consideration

Integrated use of data connection information

I think that global connection information should be made available to all CP4D services. For example, global connection information cannot be imported into a data conversion project.Having connectivity consistent throughout the whole application ...
over 1 year ago in Cloud Pak for Data / Cloud Pak for Data On Premises Software 0 Delivered

Need sizing template for clients to fill

Currently the sizing tool for Cloud Pak for Data is internal to IBM. Sizing is either done by the Expert Labs team or by IBMers. There is need to collect information to fill the sizing template. The Watson Assistant and Discovery services for exam...
over 1 year ago in Cloud Pak for Data / Cloud Pak for Data On Premises Software 3 Functionality already exists

Resource Shortage Notification

Issue: In CPD v2.5, if the cluster don't have enough resource for user to provision DB2 Warehouse or Streams instance, CPD won't inform user the resource is shortage. The DB2W instance will keep provisioning and never end. The streams instance sta...
almost 2 years ago in Cloud Pak for Data / Cloud Pak for Data On Premises Software 1 Future consideration

Xanax side effects for IBM

Read more:- https://medsshoppharma.wixsite.com/medsshoppharmaus/post/buy-xanax-2-mg-prescription-online
28 days ago in Cloud Pak for Data / Analytics Engine 0 Submitted

Open to allow WMLA user to add their own algorithms

Our team would like to try WMLA EDT to train model using most up to date, state of the art algorithm. However, these algorithm is not supported by WMLA. It will be best if WMLA allows users, who are data scientist, developer, or machine learning...
about 1 year ago in Cloud Pak for Data / Watson Machine Learning Accelerator 4 Future consideration

SELinux support for WMLA on Power

Customer is asking for SELinux support for WMLA on Power.
about 1 year ago in Cloud Pak for Data / Watson Machine Learning Accelerator 1 Delivered