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Making AI speak our languages – technology rooted in local context

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When farmers take a photo of unfamiliar spots on a crop and ask a question on their phone, they’re not thinking about digital systems or models. Instead, they are looking for reassurance, guidance, and something they can act on before the problem spreads. Moments like these are becoming increasingly common as technology becomes a first stop for information and decision-making. This shift extends from the field to the clinic and the classroom. Yet whether that farmer gets a useful answer still often comes down to one simple factor: language.

Why healthcare data needs to follow the patient

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A patient in an underserved community may begin their care at a local clinic. They may then receive a referral to a district hospital, have tests processed elsewhere, and later need specialist treatment or follow-up in another province. At every handover, the next care team needs enough context to understand what has already happened and what should happen next.

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