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What does it really take to trust AI decisions?

  • 1.  What does it really take to trust AI decisions?

    Posted 2 days ago

    We talk a lot about model performance, but trust in AI usually breaks down long before that point. It starts with the data.

    When data is fragmented or lacks governance, every “smart” decision becomes harder to explain and repeat. That’s why many teams are exploring how orchestration and data governance can work together to build AI systems that are transparent by design.

    We’ve been testing this idea with watsonx.data and Orchestrate, connecting workflows that trace every decision back to its data source. Some of those insights are shared here: Building trusted Al agents with watsonx: Turning fragmented data into confident decisions

    Curious how others are approaching explainability in their AI workflows. What’s been working for you?



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    Isabella Rocha
    Sr. Technical Product Marketing Manager
    IBM
    CA
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