Why Is Local AI Critical for Institutions?
Cloud-based AI tools offer quick answers, but you need to know exactly where your data goes.
When universities, associations and companies want to benefit from AI, the first option that comes to mind is usually a ready-made cloud service. But the student records, manuscript drafts or customer data uploaded to these services leave the institution's direct control.
With a local (on-premise) AI approach, the model runs on the institution's own server or closed network. This preserves data privacy while also allowing the model to be fine-tuned on the institution's own terminology.
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