Deployment is when the trained and evaluated AI model is put into real-world use. Deployment can involve integrating the AI system into existing applications, software platforms, or operational workflows so that end-users can benefit from it. Proper deployment also requires planning for monitoring, updates, and maintenance to ensure continued performance.
For example, in the school scenario, the AI model could be integrated into the school’s management system, allowing teachers to input student data and immediately see predictions of which students might need extra support.