IBM Data Platform Ideas Portal for Customers


This portal is to open public enhancement requests against products and services offered by the IBM Data Platform 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



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Ideas

    Back-translation verification for AI-translated sensitive communications

    Problem: In diplomacy and crisis communications, a mistranslated nuance can escalate. AI translation is fast but can flatten or distort meaning. Idea: High-stakes AI translations require automated back-translation — translate back to the source la...
    about 1 hour ago in IBM watsonx Orchestrate 0 Submitted

    AI operations log: recommendations, inputs, confidence, human decisions

    Problem: In the ship incident, reconstructing what the AI recommended versus what humans decided took precious minutes during a crisis. Idea: Every AI recommendation in an operation is logged in real time: what was recommended, on what inputs, wit...
    about 1 hour ago in IBM watsonx Orchestrate 0 Submitted

    Disclosed AI grading with human re-grade path for students

    Problem: Students graded by AI get scores without reasons and no path to challenge them. Idea: AI grading is disclosed on every assignment with the rubric applied — and every student can request a human re-grade. Value: Students get feedback they ...
    about 1 hour ago in IBM watsonx Orchestrate 0 Submitted

    Audit trail for AI hiring recommendations

    Problem: AI screening tools shape who gets interviewed, but candidates never learn why they were rejected — and employers can't prove the process was fair. Idea: Every AI hiring recommendation logs its criteria, scores, and the human who made the ...
    about 1 hour ago in IBM watsonx Orchestrate 0 Submitted

    Licensed-adjuster sign-off on AI damage estimates

    Problem: AI damage assessments decide payouts. When the model is wrong, policyholders get shortchanged by an algorithm they can't question. Idea: AI estimates are labeled preliminary; payment requires a licensed adjuster's review and sign-off, wit...
    about 1 hour ago in IBM watsonx Orchestrate 0 Submitted

    Multi-source corroboration before AI cargo/security flags trigger action

    Problem: A single AI model misreading a cargo manifest nearly caused an international incident. One model's guess became an operational plan. Idea: AI-generated security flags on cargo, travelers, or shipments can't trigger interdiction without co...
    about 1 hour ago in IBM watsonx Orchestrate 0 Submitted

    Section-level AI disclosure for published reporting

    Problem: Readers can't tell which parts of an article were human-reported and which were AI-drafted. Trust in the outlet erodes either way. Idea: Publishing workflows label AI assistance per section — research, drafting, transcription — with synth...
    about 1 hour ago in IBM watsonx Orchestrate 0 Submitted

    Clinician attestation gate for AI clinical summaries

    Problem: AI-generated patient summaries can omit or invent clinical details. Once in the medical record, they shape every downstream decision. Idea: AI clinical summaries can't enter the record without a clinician's attestation — reviewed and sign...
    about 1 hour ago in IBM watsonx Orchestrate 0 Submitted

    Model-risk disclosure on AI-generated financial products

    Problem: Investment memos, earnings summaries, and risk assessments drafted by AI carry the firm's authority — but readers don't know a machine wrote the analysis. Idea: Financial work products disclose AI involvement, the model's role, and confid...
    about 1 hour ago in IBM watsonx Orchestrate 0 Submitted

    Appeal-ready explanations for AI-influenced benefit decisions

    Problem: When AI helps decide who gets benefits, denials arrive as inscrutable rejections. Citizens can't appeal what they can't understand. Idea: Any government determination with AI involvement ships with a plain-language explanation: what was d...
    about 1 hour ago in IBM watsonx Orchestrate 0 Submitted

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