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If these nuances arent accounted for, the AI might learn an overly simplified view of supply chain dynamics, resulting in misleading risk assessments and poor recommendations. AImodels work with what they have, assuming that all key factors are already present. Consider an AImodel built to predict supplier reliability.
The model serves as a tool for the discussion, planning, and definition of AI products by cross-disciplinary AI and product teams, as well as for alignment with the business department. It aims to bring together the perspectives of product managers, UXdesigners, data scientists, engineers, and other team members.
Right now, we still mostly hope we can hop over some unresolved issues with AI (i.e., let the AI figure this out), but we could always resort to working on the data/API/logic layer instead. Just to explain what I mean by 3. – say you would like to extract data from an invoice or some kind of form.
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