Deployment refers to the process of making an AI model or system available for use in a real-world environment. It involves integrating the AI solution into existing infrastructure so that end-users or other systems can interact with it effectively.
Characteristics:\
– Involves setting up the AI model on servers, cloud platforms, or edge devices.\
– Includes configuring APIs, user interfaces, and data pipelines.\
– Requires monitoring and maintenance to ensure performance andreliability.\
– May involve scaling resources based on demand.\
– Often includes version control and rollback mechanisms for updates.
Examples:\
– Launching a chatbot on a company’s website to assist customers.\
– Integrating a recommendation engine into an e-commerce platform.\
– Deploying a computer vision model on security cameras for real-time threat detection.
