Building Scalable AI Products From Idea to Launch

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Turning an AI concept into a reliable product requires more than connecting an application to a foundation model. A structured custom AI product development process can cover discovery, data preparation, architecture, model selection, application engineering, testing, deployment, and monitoring. This approach helps businesses create scalable products designed around real operational requirements.

Summary:
1. P>Turning an AI concept into a reliable product requires more than connecting an application to a foundation model.
2. A structured architecture, model selection, application engineering, testing, deployment, and monitoring.
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