Cut AI Token Costs Up to 99% With a Real Semantic Layer
Hands-on Timbr lab where architects build the ontology and knowledge graph that make AI answers cheaper, deterministic, and auditable.
WHY CONTEXT LAYER?
Source: Gartner Data & Analytics Summit, Feb 2026
ARCHITECTURE COMPARISON
CURRICULUM OVERVIEW
PRE-WORK (OPTIONAL) · 8 HOURS · MUST COMPLETE 2 WEEKS PRIOR
Identify your company's specific use case and relevant data assets. This optional pre-work ensures Day 1 hits the ground running with real context from your environment.
DAY 1 AM · THEORETICAL FOUNDATION
Build the mental model: core concepts, principles, and a full tools landscape overview. Understand why semantic layers exist, how ontologies structure knowledge, what cubes add, and where knowledge graphs fit into an AI-ready architecture.
DAY 1 PM · DEEP DIVE & LIVE DEMO
Side-by-side comparison of leading platforms, including Timbr, Stardog, Microsoft Fabric IQ, and others. A practitioner-led Timbr deep dive concludes with a live demonstration so you see the technology in action before building with it.
DAY 2 · HANDS-ON LAB WITH TIMBR
Roll up your sleeves: build an ontology and knowledge graph hands-on using Timbr against real data. Then compare AI responses with vs. without the knowledge graph to quantify the accuracy and token savings yourself.
LEARNING OUTCOMES
By end of Day 2, every participant can: