AI in Education & Enterprise Glossary

Plain-language definitions of the AI, edtech, and enterprise concepts that show up across institutional and enterprise AI deployments.

44 pages

What does the ibl.ai AI glossary define?

This glossary defines 44 terms that come up when an organization deploys AI it intends to run itself — retrieval-augmented generation, model context protocol, agent orchestration, air-gapped deployment, tenancy, evaluation, and the governance vocabulary that appears in procurement and compliance reviews. Each entry gives a plain definition first, then why the concept matters in a self-hosted deployment specifically.

Why does AI terminology matter in procurement?

Vendor contracts and security questionnaires reuse the same words to mean materially different things — "private", "dedicated", "your data", and "deployed in your cloud" can all describe a system whose source code you never receive. These definitions are written to make those distinctions explicit, so a reviewer can tell what a claim actually commits the vendor to.

What makes the ibl.ai platform different?

ibl.ai is the agentic AI platform where you own all the code and the data. You self-host the entire stack inside your own perimeter, run it model-agnostic across any LLM and switch anytime, and pay by usage with no per-seat pricing — so you can deploy anywhere: your cloud, on-premise, GovCloud, or fully air-gapped.