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 Subscribe
Status Submitted
Workspace Connectivity
Created by Guest
Created on Sep 30, 2024

RELATED IDEAS

Allow writing from the platform through a Hive connector

As we develop models on the cloud pak platform, we re implementing the following flow:

- reading data tables on our on-premise datalake from a hive connector

- training a ML model from a notebook environment

- writing the output of models back to hive tables

The problem we re facing is that writing through hive connectors, either from data refinery or from a jupyter notebook via the flight service, is currently not supported. In order to streamline the saving o model outputs and allow industrialization of our uses cases, we need the hive constraint to be alleviated. 

Needed By Yesterday (Let's go already!)

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