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.
Tags: Automation, SystemsAI Compliance
Meeting legal and policy requirements when you build and run AI features.
Tags: Compliance, RiskAI Decision Making
Using models to choose or recommend actions based on data and goals.
Tags: Product, BasicsAI Deployment
The process of serving a trained model so real users and systems can call it.
Tags: Ops, BasicsAI Governance
Policies, processes, and oversight that guide how AI is built and used.
Tags: Governance, RiskAI Inference
Running a trained model to get an output for a real request.
Tags: Ops, BasicsAI Model
The learned function that maps inputs to predictions, decisions, or generated content.
Tags: Basics, ModelingAI Monitoring
Watching model quality, cost, and safety in production so you can react fast.
Tags: Ops, AnalyticsAI Optimization
Tuning prompts, models, and settings to improve quality, speed, and cost.
Tags: Ops, ProductAI Platform
A set of tools and services that let you build, ship, and manage AI features in one place.
Tags: Platforms, SystemsAI Recommendation
Models that suggest the next best item, action, or piece of content.
Tags: Product, BasicsAI Security
Protecting models, data, and outputs from abuse, leaks, and tampering.
Tags: Security, GovernanceAI Software
Software that bakes AI into the product so users get smarter help by default.
Tags: Basics, ProductsAI System
All the pieces that make an AI feature work: models, data, tools, and guardrails together.
Tags: Basics, Systems