Using Snowflake as the Engine and Store for Your Machine Learning Features

Features are the core of machine learning (ML) generated insights. Yet many organizations today are challenged with getting a wide spectrum of data types in the right format and just in time for both

Demo Day - Achieve Unified Data Engineering and Data Science!

Building Scalable Feature Engineering Pipelines with Snowpark Python and Scikit-Learn

In a typical machine learning (ML) workflow, data science teams develop features in subsets of data and to take models into production, engineering teams are burdened with re-coding feature pipelines

How DataOps Accelerates Snowpark Deployments for Production AI and ML Workloads

Customer Churn Prediction for Plan and Network Utilisation