Data Science as a Service - Kumo AI Full Walkthrough

Learn to build a complete e-commerce recommendation system using Kumo AI's Graph Neural Network service in this comprehensive 55-minute tutorial. Discover how to leverage Kumo AI to abstract away the complexity of building GNNs for predictive analytics, transforming what typically takes months of data wrangling and model training into a streamlined process. Work with real H&M transaction data containing 33 million records to create a recommendation engine capable of predicting customer lifetime value for 30-day periods, generating personalized product recommendations, and forecasting purchase behavior to identify active customers. Master the setup and configuration of Kumo AI, explore data connectors and BigQuery integration, understand graph construction principles, and utilize Predictive Query Language (PQL) for advanced analytics. Gain hands-on experience with personalized recommendation algorithms, purchase volume prediction models, and practical implementation strategies for deploying machine learning solutions in production environments.