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).


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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:


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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

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  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

Openscale

Showing 28

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 4 years ago in Openscale 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 its ...
over 4 years ago in Openscale 0 Future consideration

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. with https://<>:9243/platform/rest/deeplearning/v1/hypersearch/username-hpo-860740667802465 ... only the metric being ...
over 4 years ago in Openscale 0 Future consideration

Watson to track covid19 for supplies and for those infected ASAP

I’m from Houma, south Louisiana. Covid19 is shutting down my state and every one is in a panic buying all supplies. I’d like to run automated ads with google partners to keep all the schools,hospitals, and grocery stores updated with the products ...
over 4 years ago in Openscale 0 Not under consideration

Develop the explainability in Independent Variables for Time-series data

At Cisco, GBS and SW group we are doing a PoC with Watson Open Scale on ICPD on IBM Cloud. Business Idea behind this is, this system can capture the Sudden Sales Spike, and once we catch it, we can prepare it and forecast. LTSM model should be abl...
over 5 years ago in Openscale 0 Not under consideration

Change Controlled AI Asset Catalog

A Financial Services company NewBank Inc. is aggressively infusing AI into many of their business processes. NewBank has a strong in house expertise as well has a strong eco system of innovative startups. NewBank is building an eco system of AI en...
about 6 years ago in Openscale 0 Not under consideration

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 e...
about 4 years ago in Openscale 4 Future consideration

SELinux support for WMLA on Power

Customer is asking for SELinux support for WMLA on Power.
over 4 years ago in Openscale 1 Future consideration

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