AI x Relational Meetup by Kumo – New York Edition
AI x Relational Workshop – NYC Edition by Kumo
Train your first graph transformer model on relational data—no more feature engineering needed!
After a successful session in San Francisco, we’re bringing this highly requested workshop to the East Coast—live in New York on May 21—with fresh insights, live demos, and new conversations. Discover how graph transformer models are reshaping predictive modeling, powering next-gen recommender systems, and enhancing RAG applications—all without the need for complex feature engineering.
This hands-on evening event blends tech talks, a live demo, real-world lessons from production deployments, a panel with industry leaders, and a casual mixer. You’ll learn how to train AI models directly on multi-table schemas—no tedious data prep required.
Explore how graph-transformer-based architectures enable new capabilities for predictive tasks and scalable entity embeddings—and connect with fellow data scientists, ML engineers, and AI builders leading the way.
Featured Speakers
Vanja Josifovski – CEO & Co-founder @Kumo; Former CTO of Homes @Airbnb; Former CTO & VP of Engineering @Pinterest
Bryan Perozzi - Senior Staff Research Scientist, @Google
Ben Berger – Data Scientist at @Kumo
Indrayana Rustandi - Machine Learning Engineer, @Coinbase
Nick Hardy - Vice President of Data, @Ro
Event Format
Agenda
5:00 PM – 5:30 PM | Mixer & Welcome Reception
Light food and drinks. Connect with peers and speakers.
5:30 PM – 6:05 PM | Keynote Talks from Kumo and Google
Hear from industry leaders on AI and relational data.
6:05 PM – 6:50 PM | Live Demo & Panel Discussion
See a graph-transformer model in action, followed by a discussion on the future of AI for machine learning.
6:50 PM – 7:10 PM | Break
7:10 PM – 7:40 PM | Hands-On Workshop
Train your first graph-transformer model with Kumo experts. Bring your laptop!
7:40 PM – 8:00 PM | Closing & Networking Mixer
Wrap-up and networking over food and drinks.
Who Should Attend
Data Scientists & ML Engineers
You'll learn how to:
Complete modeling projects up to 20x faster
Eliminate complex data preparation steps
Build models that understand entity relationships
Expand predictive capabilities across business domains
AI Engineers
You'll learn ways to:
Generate accurate embeddings from relational data
Enhance RAG systems with structured data representations
Create more intelligent interfaces to data warehouses
Registration
Registration is free. Approval is required. Applications will be reviewed to ensure a relevant technical audience. Limited to 40 participants to ensure meaningful discussions and personalized guidance.
Security won’t let you enter without an approved registration.