AI Deployment is the process of putting an artificial intelligence model into a live environment where it can process real-world data and deliver predictions, recommendations, or automated actions. It typically involves integrating the trained model with applications, databases, APIs, and monitoring systems so it can operate reliably beyond the development stage.
Deployment may take place in cloud platforms, on-premises infrastructure, edge devices, or a combination of these. Production monitoring, model versioning, security, scalability, and performance management are important to ensure the AI system continues to produce useful results as data and operating conditions change.
