AI Glossary
Deployment
What is Deployment?
The process of making an AI model available for use in production — via an API, embedded in an application, or run locally. Deployment decisions affect latency, cost, data privacy, and how frequently the model can be updated.
Example in practice
A healthcare company deploying a patient-triage AI on-premise rather than via a cloud API has made a deployment decision driven by data privacy requirements, accepting higher infrastructure cost in return.
See also
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