TRiSM
Trust, Risk, and Security Management (TRiSM) is a framework for managing the trust, risk, and security of AI systems to ensure they are safe, reliable, and ethical.
Trust, Risk, and Security Management (TRiSM) is a framework for managing the trust, risk, and security of AI systems to ensure they are safe, reliable, and ethical.
A software development practice where code changes are automatically deployed to production without manual intervention.
Guidelines and principles designed to ensure that AI systems are developed and used in a manner that is ethical and responsible.
A framework for assessing and improving an organization's ethical practices in the development and deployment of AI.
A software development practice where code changes are automatically prepared for a release to production.
A methodology for building software-as-a-service apps that emphasizes best practices for development, deployment, and scalability.
ModelOps (Model Operations) is a set of practices for deploying, monitoring, and maintaining machine learning models in production environments.
Application Release Automation (ARA) is the process of automating the release of applications, ensuring consistency and reducing errors.
Minimum Viable Feature (MVF) is the smallest possible version of a feature that delivers value to users and allows for meaningful feedback collection.