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 188

Support of streaming/parsing/converting CLOB/BLOB type data structures in DV for larger data elements such as binary images that reside as objects on an S3

RequirementIntegrated GovernanceIn order to be able to use the CP4D Data Virtualization in combination with Watson Knowledge Catalog as a single, integrated governance layer over structured data (residing in Databases / Flat files) and unstructure...
3 months ago in Cloud Pak for Data / Data Virtualization 0 Submitted

Dynamic Number of Time Series Forecasted in Watson Studio SPSS Modeler Flow

There is need to be able to run a forecasting job even if the amount of timeseries changes (without going to the modeler to manually select a Type for each series). This can happen (but is not limited to) when using MDX to import data from IBM Pla...
3 months ago in Cloud Pak for Data / Watson Studio 0 Under review

DMC Backup Restore

It would be great if database administrators could manage and schedule backups and restores from the DMC in Cloud Pak.
3 months ago in Cloud Pak for Data / Db2 Warehouse 1 Future consideration

Interactive Elastic Distributed Training notebook in Watson Studio

Watson Machine Learning Accelerator Elastic Distributed Training (EDT) simplifies the distribution of training workloads for the data scientist. Deep learning experiment in Watson studio provide the UI to submit job in WMLA , but this is not inter...
4 months ago in Cloud Pak for Data / Watson Machine Learning Accelerator 0 Future consideration

Tensorboard support on job monitoring

TensorBoard is TensorFlow’s visualization toolkit enables tracking metrics like loss and accuracy, visualize the model graph, view histograms of weights, biases, or other tensors as they change over time, and much more.A managed TensorBoard suppor...
4 months ago in Cloud Pak for Data / Watson Machine Learning Accelerator 0 Future consideration

Grafana / Prometheus GPU metric in CP4D

It would be nice to have the GPU utilization metrics used in WMLA also introduced to the main monitoring dashboard of core CP4D. This is so that we still have a single monitoring dashboard for all services of CP4D.
4 months ago in Cloud Pak for Data / Watson Machine Learning Accelerator 0 Future consideration

Export Data Protection Rules

Include an option to export data protection rules. In 3.5.3 there is only an option to export governance rules.
4 months ago in Cloud Pak for Data / Cloud Pak for Data System 0 Future consideration

Adding feature for more frequent commits when using DB2 connector

When loading big amount of data into DB2 for Warehousing, we are exceeding DB2 limitation 300GB which means that we need to load the data with more than just one commit. However when using external tables in DataStage, DB2 connector ingores the co...
4 months ago in Cloud Pak for Data / DataStage 0 Under review

Xanax side effects for IBM

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4 months ago in Cloud Pak for Data / Analytics Engine 0 Submitted

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4 months ago in Cloud Pak for Data / Analytics Engine 7 Submitted