Burn-In
The process of running a system for an extended period to detect early failures and ensure reliability.
The process of running a system for an extended period to detect early failures and ensure reliability.
Features or elements added to enhance the functionality or user experience of a system.
The process of maintaining, updating, and improving a product or system after its initial deployment to ensure its continued functionality, performance, and relevance to users.
A framework for assessing and improving an organization's ethical practices in the development and deployment of AI.
Application Release Automation (ARA) is the process of automating the release of applications, ensuring consistency and reducing errors.
A testing methodology that verifies the complete workflow of an application from start to finish, ensuring all components work together as expected.
A set of practices that combines software development (Dev) and IT operations (Ops) to shorten the development lifecycle and deliver high-quality software continuously.
Digital Asset Management (DAM) is a system that stores, organizes, and manages digital assets, such as images, videos, and documents.
The degree to which the operations and decisions of an AI system are understandable and explainable to users.