Chicago

We encourage you to join us early to collect your name badge, and network over a light breakfast. Agenda starts at 9:00am.

Stephen Chin, VP, Developer Relations, Neo4j 

Join us as we explain how graph reveals the natural connections in your business data and provides the context AI needs to deliver real results. See how leading organizations turn enterprise knowledge into competitive advantage, powering intelligent decisions and driving business transformation.

Jim Webber, Chief Scientist, Neo4j

GeneRank is the application of the PageRank algorithm over a biopharma knowledge graph in Neo4j.  The purpose is to find the genes most related to health conditions.  This analysis provides support for target selection and drug repurposing. The talk will focus on the curation of data for this type of analysis as well as the algorithm’s function itself.  Further, it looks forward to making analytics available to agents for the purpose of automated research.

Ryan Chandler, Knowledge Graph Engineer, AbbVie

The Cross-Channel Insights initiative empowers leaders and program managers to take action on insights from employee feedback sources like the Annual Engagement Survey, Open Door, and My Ideas. Powered by a Knowledge Graph and LLM-driven ReAct Agent, the system uses semantic search, NER, and schema linking to generate Cypher queries and synthesize responses. Now live on the My Assistant Platform, it enables scalable, real-time insights to better understand and support associates.

Han Li, Director of People.ai, Walmart

Shangwen Huang, Senior Manager, Data Science, Walmart

Tao Guo, Staff, Software Engineer, Walmart

Yifan Wang, Principal Data Scientist, Walmart

Learn how Quarles & Brady is building an enterprise-grade AI platform powered by Neo4j to connect clients, matters, documents, and financial systems into a single graph. This session will explore how a network of specialized AI agents leverages that graph to deliver answers, automate analysis, and surface insights across the firm. We will share practical examples from knowledge management, pricing, and GenAI use cases, as well as our integration with Microsoft CoPilot.

Chris Emerson, Chief Legal Operations and Innovation Officer, Quarles & Brady

Get an inside look at the latest Neo4j innovations that enable relationship-driven intelligence at scale. Learn more about the newest cloud integrations and product enhancements that make Neo4j an essential choice for developers building apps with interconnected data and generative AI.

Philip Rathle, Chief Technology Officer, Neo4j

See the power of Neo4j in action and join one of our two hands-on interactive workshops. There’s something for everyone, whether you’re new to the world of graphs, or a little more experienced. Bring your laptop and join one of these:

Hands-On Workshop: Create a Graph-Backed App from Scratch

Join this hands-on workshop led by Neo4j experts guiding you to systematically uncover contextual intelligence. Using a real-life dataset we will build step-by-step a graph solution; from building the graph data model to running queries and data visualization. The approach will be applicable across multiple use cases and industries.

Hands-On GraphRAG Workshop: Building Smarter GenAI Apps with Knowledge Graphs

While GenAI offers great potential, it faces challenges with hallucination and limited domain knowledge. Graph-powered retrieval augmented generation (GraphRAG) helps overcome these challenges by integrating vector search with knowledge graphs and data science techniques. This approach improves context, enhances semantic understanding, enables personalization, and facilitates real-time updates.

In this workshop, you’ll explore detailed code examples to kickstart your journey with GenAI and graphs. You’ll leave with practical skills you can immediately apply to your own projects