Name: GraphSummit New York
Start: 2026-09-17T08:30:00-04:00
End: 2026-09-17T18:00:00-04:00
Location: Convene 237 Park

The knowledge layer for trustworthy AI

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September

2026

7:00 PM

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9:00 - 9:10

Welcome From Neo4j
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We encourage you to join us early to collect your badge and network over a light breakfast. Program starts at 9:00 sharp.

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Make AI trustworthy with a knowledge layer

Join us to learn how a knowledge layer gives enterprise AI the context, memory, and reasoning it needs to move from pilot to trustworthy production.

Learn how a knowledge layer gives AI the business context it needs.

See examples of real-world AI applications and customer success stories.

Connect with leaders in the graph community who are shaping how trusted AI is built and scaled.

What you'll experience

Developers

Build graph-powered AI in the hands-on workshop

Get practical tools, techniques, and best practices you can apply immediately.

Executives

Learn how leading enterprises are scaling trusted AI

Hear real customer success stories, proven strategies, and measurable business outcomes.

Architects

Design production-ready AI with Neo4j experts

Learn how to build a knowledge layer and use it to scale confidently.

AI Innovators

Connect with the leaders shaping enterprise AI

Network with executives, architects, and practitioners driving AI innovation.

Morning sessions:

The knowledge layer that makes AI trustworthy

Start the day with inspiring keynote presentations from Neo4j leaders, customers, and industry experts exploring how organizations are transforming AI from experimentation to enterprise-scale production.

You'll learn why the knowledge layer is the foundation for trustworthy AI and hear firsthand how leading enterprises are delivering measurable business value with graph intelligence.

Featured speakers

Krishna Valluru

Vice President, Engineering - Quantitative Research & Investments Data | Fidelity

Harsh Acharya

Senior Vice President, Digital, Tech Operations & Infrastructure Platform Services | Dell

Kerry Khoo-Fazari, PhD

Head of Data Science & Engineering, Chief Data Office |

Royal Bank of Canada (RBC)

Drew Palsgrove

Senior Director, Analytics and Data Platforms | Pfizer

Felix Van de Maele

Founder, CEO |

Collibra

Neeraj Deshmukh

Director of Engineering | Blitzy

Michael Montanaro

Forward Deployed Engineer | Blitzy

Jesus Barrasa

Field Chief Technology Officer, GenAI | Neo4j

Emil Eifrem

Founder & CEO | Neo4j

Sudhir Hasbe

President, Technology & Chief Product Officer | Neo4j

Two tracks, one afternoon

Technical workshop

Hands-on GenAI workshop

Open to all technical attendees

Hands-on GenAI development
Learn enterprise AI best practices
Interactive lab with Neo4j experts
Live technical Q&A

Designed for:

Developers, data engineers, architects, technical leads, AI engineers, and data scientists

Workshop participants must bring their laptop and a charger.

This is an intermediate level workshop. Participants are encouraged to complete the GenerativeAI & GraphRAG learning paths in GraphAcademy, linked here.

Executive program

For senior business & technology leaders

Invitation only

Industry perspective: Emerging AI trends from a leading industry analyst
The enterprise knowledge layer: Governance, trust, and cost optimization
Executive fireside chat: Lessons from AI and data leaders at RBC and Collibra
Executive roundtable: A private, moderated discussion with senior executive peers

Designed for:

CIOs, CTOs, CDOs, heads of AI, heads of data enterprise architects, business executives

Limited capacity - participation is reviewed to maintain a senior executive peer audience. Executive track selection will appear in form after you identify your job function.

Agenda

8:30 - 9:30

Registration & breakfast

9:30 - 9:35

Welcome from Neo4j

9:35 - 10:20

Keynote | The knowledge layer for trustworthy AI

Join us as Neo4j explains how the knowledge layer surfaces relationships in your data and the how and why behind them, giving AI the context, memory, and reasoning it needs.

10:20 - 10:40

Blitzy's use case | Unlocking infinite code context

Neeraj Deshmukh — Director of Engineering, Blitzy

Michael Montanaro — Forward Deployed Engineer, Blitzy

10:40 - 10:55

Break

10:55 - 11:55

Neo4j product vision & roadmap

An insider look at the latest innovations powering the Neo4j Graph Intelligence Platform.

11:55 - 12:15

Fireside chat | Harsh Acharya, Dell + Sudhir Hasbe, Neo4j

Harsh Acharya — Senior Vice President, Digital, Tech Ops & Infrastructure Platform Services, Dell
Sudhir Hasbe — President, Technology, & Product Officer, Neo4j

12:15 - 12:45

Customer panel | Building the knowledge layer for enterprise

Drew Palsgrove — Senior Director, Analytics, Pfizer
Kerry Khoo Fazari — Head of Data Science and Engineering, Chief Data Office, RBC
Krishna Valluru — Vice President, Advanced Data Analytics Tech, Fidelity

12:45 - 2:00

Lunch break

2:00 - 5:00

Hands-on GraphRAG workshop | Build 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.

2:00 - 5:00

Executive program

The Executive track is an invitation-only experience designed for senior business and technology leaders who are responsible for turning AI strategy into measurable business outcomes.

Through industry insights, executive thought leadership, customer experiences, and peer discussion, attendees will explore why the Knowledge Layer is emerging as the foundation for enterprise AI—and how organizations can use it to improve AI accuracy, reduce costs, strengthen governance, and accelerate production deployments.