Learn the language of automation.
A simple guide to the terms we use every day. Clear explanations to help you understand how the technology works.
AI Automation
Automations powered by models that can read, decide, and act with your data.
AI Compliance
Meeting legal and policy requirements when you build and run AI features.
AI Decision Making
Using models to choose or recommend actions based on data and goals.
AI Deployment
The process of serving a trained model so real users and systems can call it.
AI Governance
Policies, processes, and oversight that guide how AI is built and used.
AI Inference
Running a trained model to get an output for a real request.
AI Model
The learned function that maps inputs to predictions, decisions, or generated content.
AI Monitoring
Watching model quality, cost, and safety in production so you can react fast.
AI Optimization
Tuning prompts, models, and settings to improve quality, speed, and cost.
AI Platform
A set of tools and services that let you build, ship, and manage AI features in one place.
AI Recommendation
Models that suggest the next best item, action, or piece of content.
AI Security
Protecting models, data, and outputs from abuse, leaks, and tampering.
AI Software
Software that bakes AI into the product so users get smarter help by default.
AI System
All the pieces that make an AI feature work: models, data, tools, and guardrails together.