AI App Deployment and Maintenance Guide

Description

Launching an AI application is only one part of the development lifecycle. After deployment, businesses need to monitor application performance, manage AI models, update dependencies, address security issues, optimize infrastructure, and maintain integrations. A structured deployment and maintenance approach helps keep AI applications reliable, secure, and capable of meeting changing business and user requirements.