This is like a smart early‑warning system for universities: it looks at patterns in student data (grades, attendance, demographics, behavior on learning platforms) and predicts which students are likely to struggle or drop out so staff can intervene earlier.
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Executive brief, technical architecture, and market positioning for this use case.
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Executive brief, technical architecture, and market positioning for this use case.
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Executive brief, technical architecture, and market positioning for this use case.