New York

We encourage you to join us early to collect your name badge and network over a light breakfast. Be sure to bring a government-issued ID for entrance to the Nasdaq building. Agenda starts at 9:00am.

Robin Kim, VP, Communications, Neo4j

Emil Eifrém, CEO, Neo4j

Join us as Neo4j’s Emil Eifrém explains 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.

Maryam Hassanlou, Ph.D., Director Analyst, Gartner

Maryam Hassanlou will explore how enterprises are integrating knowledge graphs with AI to enhance accuracy and reduce hallucinations in RAG systems. Drawing from real-world GraphRAG case studies, she’ll demonstrate practical implementation approaches — from query-based methods to agentic systems — and explain when graph-enhanced AI delivers meaningful improvements. Attendees will learn to navigate the gap between theoretical promise and production-ready systems while validating their graph database investments and AI explainability strategies.

Sudhir Hasbe, Chief Product Officer, Neo4j

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.

Vignesh Murugesan, Senior Staff Engineer, Uber

Join Senior Staff Engineer Vignesh Murugesan to learn how Uber is using Neo4j to build product config knowledge graphs at scale, support cross-team collaboration, and integrate LLMs via a Graph RAG architecture for discoverability and agentic workflows.

Steven Schwartz, Senior Director, Software Engineering, Comcast

In this session, you’ll hear from Steven Schwartz, Senior Director of Software Engineering at Comcast, as he shares how his team built a graph-powered digital twin of their nationwide network. When a network spans thousands of neighborhoods, even small questions — like what’s connected to this RF node — can become hard to answer. Comcast’s new approach connects every layer of the network, helping teams resolve issues faster, trace equipment more easily, and support customers with confidence.

Panelists: Vikas Pandya, Director Enterprise Architecture, BNY, Moheesh Raj, Director of Engineering, Dun & Bradstreet, Anantha Thandalam Madapui Sreeraman, Associate Director, Raymond James; Edgar Osuna, PHD, Chief Data & Analytics Officer, Iuvity; Moderator: Stephen Chin, VP, Developer Relations, Neo4j

As regulations tighten and AI adoption accelerates, companies across industries are being pushed to clean up their data and ensure transparency at every layer of their technology stack. In this session, hear how leading organizations are using Neo4j to build a connected data backbone — resolving foundational issues that regulators demand and GenAI initiatives require. Whether you’re navigating DORA, strengthening fraud defenses, or preparing for internal AI copilots, you’ll hear how forward-looking teams are aligning innovation with compliance.

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.

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.

Complete the day by networking with your peers and the graph community over light refreshments. Close at 6:30pm.