From Aviation Data to AI Copilot: Building a Conversational Graph for Flight Intelligence

Session Track: App Dev

Session Time: 09:00 pm - 09:15 pm November 6

Session description

This session will explore how a multisource aviation knowledge graph powers an intelligent conversational assistant capable of answering complex flight operations questions. Vishakha will demonstrate how graph data models, real-time ingestion pipelines, and schema-driven ontologies come together to support a chatbot that understands NOTAMs, weather data (TAF/METAR), airport configurations, crew trips, and more. Attendees will learn how to architect a Neo4j-backed system that combines structured aviation data with LLM capabilities. The session will walk through key graph modeling choices, ingestion patterns, ontology governance, and how these enable domain-specific reasoning and natural language interactions. By the end of the session, attendees will understand how to bridge structured graph data with GenAI to build real-world, safety-critical applications.