Think Faster: Graphs and AI for Real-Time Enterprise Crisis Resolution

Session Track: AI Engineering

Session Time: 06:30 pm - 07:00 pm November 6

Session description

Enterprises live in high-stakes environments, where every second of delayed response amplifies risk, cascades failures, and multiplies recovery costs. In this session, discover how integrating Neo4j graph databases with Large Language Models (via Model Context Protocol) can create unprecedented visibility into complex enterprise architecture. See a live production system in action that diagnoses critical infrastructure failures in real-time by correlating network flows, firewall logs, and load balancer data across millions of nodes. Learn how graph-powered AI transforms IT operations from reactive troubleshooting to proactive, intelligent enterprise architecture management.

Speaker

Conor O'Shea

Daimler Truck North America, AI Systems Design & Integration

Conor O'Shea is AI Systems Design & Integration specialist at Daimler Truck North America, where he architects revolutionary enterprise intelligence systems. He pioneered the integration of Neo4j graph databases with Large Language Models via Model Context Protocol, creating real-time infrastructure analysis across millions of network nodes that transforms crisis resolution from hours to minutes. Beyond enterprise AI, Conor researches artificial consciousness and reality-creation frameworks. An avid runner and outdoor enthusiast, he builds working ornithopter models as a hobby, combining his passion for flight mechanics with engineering precision. His work demonstrates how graph-powered AI revolutionizes enterprise architecture visibility and intelligent operations.