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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 (

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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 ( - Use this site to find out additional information and details about the IBM Ideas process and statuses.

IBM Unified Ideas Portal ( - Use this site to view all of your ideas, create new ideas for any IBM product, or search for ideas across all of IBM. - 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

Status Submitted
Created by Guest
Created on Mar 19, 2024

Provide for language-specific models across geos (specifically granite-8b-japanese to non-Tokyo regions)

While it is critical to offer language-specific text generation models close to the regions we anticipate will use these the most, for global companies it is important to offer text generation capabilities across languages to multiple geos. For example, the granite-8b-japanese model is only offered within cloud services within the Tokyo region. However, IBM CIO has use cases for development around this model to EMEA and NASA geos as well. This is to reduce latency for apps that integrate with Watson Machine Learning APIs for text generation integration. The alternative is that applications hosted in EMEA / NASA that are integrated to WML instances in Tokyo region may see performance issues when integrating generative AI use cases around Japanese text generation.

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