Sheena Nasim

Discover how Snowflake's AI Data Cloud revolutionizes Python-powered machine learning at scale. Learn how Snow Pandas brings familiar pandas operations to massive datasets for scalable data engineering, explore advanced feature engineering with Snowflake ML's distributed processing capabilities,...

In this session, learn more about Snowflake’s end-to-end ML platform and how it supports creating production-scale deployments and operationalization of your models. We will dive into MLOps essentials and Snowflake’s capabilities for model management and model serving. You can easily bring models trained externally, or train them at scale using Snowflake ML, and then securely and scalably deploy them for inference with our flexible serving environments. At the end, we’ll bring this to life with a real-life scenario of managing production models, running continuous evaluations to train and deploy champion-challenger models.