Bender's Brain: How Knowledge Graphs Connect Everything in Fabric IQ

"I'm 40% knowledge graph!" In Futurama, Bender's brain is a chaotic web of memories, skills, and connections that somehow work together. Your Microsoft Fabric platform needs the same thing—a knowledge graph that connects disparate systems, enables context-aware AI, and makes sense of your data universe.

In this session, I'll share real-world learnings from implementing knowledge graphs across charity fundraising (donors, campaigns, impact networks), medical research (studies, treatments, clinical trials), and supply chain operations (suppliers, routes, dependencies)—basically building Bender's brain for your data platform.

You'll learn:

-When knowledge graphs are the right delivery choice vs Lakehouses or Data Warehouses
-How to integrate Fabric IQ to your data
-Patterns for combining graphs with RAG and LLMs: enabling agents to traverse donor relationships, research ontologies, and supply dependencies
-Real implementation: building AI agents that navigate connections like the crew navigates the universe
-The Robot Devils of graph architecture: performance black holes with millions of nodes, cost explosions, schema evolution nightmares
- What worked in production vs what belongs in the Hall of Criminals
- Decision criteria: when graphs unlock value in fundraising, research, or operations vs when they're just expensive wire

Walk away with practical patterns for knowledge graphs that power smarter AI across your Enterprise (shiny metal assistant not included).

Understand when knowledge graphs are the right choice vs Lakehouses, Data Warehouses, or KQL databases Learn how tot integrate your data with Fabric IQ and Microsoft Foundry Master patterns for combining knowledge graphs with RAG, embeddings, and LLMs Build AI agents that reason over connected data across different domains Navigate performance, cost, and schema evolution challenges in production Apply decision criteria to determine when graphs add value vs unnecessary complexity