Events
Enabling the Future of Predictive Decision Intelligence with Snowflake Cortex Agents and Kumo’s Relational Foundation Model
Join Joshua Przybylko, Head of Product at Kumo, at Snowflake Build 2025 to see how Kumo’s Relational Foundation Model (KumoRFM) and Snowflake Cortex Agents work together to transform enterprise data into predictive power.
November 4 - 7, 2025
How to Build Predictive AI Agents Easily with KumoRFM MCP - No ML Expertise Needed
In this session, you’ll learn to use KumoRFM to bring plug-and-play predictive intelligence into agents: no feature engineering, no training pipelines–using KumoRFM MCP to deliver accurate predictions.
September 10, 2025
Mastering KumoRFM: A Hands-On Beta Session to Learn, Test, and Share Your Feedback
This session will take you from foundational concepts to hands-on application with KumoRFM. You’ll learn the intuition behind how KumoRFM works, explore its core design principles, and build your first use cases through guided exercises.
August 7, 2025
Better Predictive Models with Graph Transformers | Jure Leskovec
In the episode, Richie and Jure explore the need for a foundation model for enterprise data, the limitations of current AI models in predictive tasks, the potential of graph transformers for business data.
August 6, 2025
Getting Started with Kumo’s Relational Foundation Model: Predict Using Your Data
Built on Graph Transformer architecture, KumoRFM enables high-quality, in-context predictions directly from relational data, with no pipelines, no manual feature engineering, and no model training required.
July 24, 2025
Generative Forecasting: The Power of Graph Transformers in Time Series Prediction
In this online workshop, Jan Eric Lenssen and Sally Liu from Kumo will explore how Graph Transformers, powered by relational data, are reshaping the way enterprises forecast.
July 9, 2025
Predictions without predictive modeling: Getting started with KumoRFM| Kumo AI
In this session, we’ll explore how KumoRFM enables in-context, high-accuracy predictions directly from structured data, without the need for manual model training.
May 29, 2025
Relational AI Meets RAG: Enabling Next-Gen LLM Accuracy with Kumo & NVIDIA
Join us to learn how Kumo’s predictive AI platform and the popular open-source library PyTorch Geometric (PyG) to bring deeper reasoning via retrieving knowledge from graph-structured models. This approach allows LLMs to go beyond static retrieval—incorporating rich, forward-looking context that enables more relevant, precise, and explainable outputs.
April 23, 2025
From Notebook to Production: Cloud-Native ML with Kumo in Snowflake
In today’s fast-paced data landscape, building predictive AI models often involves scattered tools, complex workflows, and time-consuming feature engineering. But what if you could do it all—securely and efficiently—within your existing Snowflake environment?
April 10, 2025
Beyond Similarity: Personalizing Recommendations with Kumo and Pinecone
In this workshop, Arjun Patel, Developer Advocate at Pinecone, and Blaz Stojanovic, ML Engineer at Kumo, will provide a deep dive into building and deploying advanced recommendation systems using fine-tuned embeddings and vector search with Kumo and Pinecone.
March 27, 2025
Graph Transformers: What every data scientist should know
Graph Transformers are set to transform how you work with relational data—without the hassle of feature engineering. In this hands-on online workshop, Vijay Prakash Dwivedi (Stanford) kicks things off with a clear introduction to the core concepts behind Graph Transformers.
February 27, 2025
Practical workshop from Kumo and real-world example from Reddit
Online workshop for a practical introduction to using Kumo and its AI models for relational data to make better recommender systems, risk scoring, fraud detection, and many other predictive-AI applications with up to 95% less work compared to traditional ML approaches that rely on feature engineering.
February 13, 2025
Jenny + Jeans = Customer: Embedding relational data for fun and profit
In this free online workshop — led by data scientists from Kumo and Yieldmo with real-world examples — you’ll discover how recent breakthroughs in Graph Neural Networks (GNN) and Relational Deep Learning (RDL) make it possible to get highly accurate embeddings of entities in your relational data, so you can ship more accurate predictive and generative AI applications for more use cases across your business.
January 23, 2025
No data prep, no feature engineering: Predictive modeling in 2025
Explore how innovative AI models are transforming traditional machine learning by simplifying workflows and delivering accurate predictions with up to 20x less effort. These cutting-edge models eliminate the need for data preparation, feature engineering, and training set generation.
December 12, 2024
Ship better AI products in a fraction of the time.
Use Kumo to build and run AI models on your relational data.
