Navigating Dataiku - Machine Learning & MLOps | Webinar Replay

Discover how to take your machine learning projects from prototype to production in this action-packed session with Ethan Pirso from Compass Analytics. In this webinar, you'll learn how to harness the full potential of Dataiku to build, explain, deploy, and monitor machine learning models—without writing a single line of code (unless you want to). Whether you're exploring AutoML or customizing models with Python, this hands-on walkthrough shows you how Dataiku simplifies and scales ML workflows and MLOps for real-world impact. What You'll Learn: - The end-to-end machine learning lifecycle in Dataiku - Training models with AutoML or custom code - Exploring model behavior with built-in explainability tools - Deploying models using scoring recipes and APIs - Monitoring model performance with evaluation stores and drift alerts - Using MLOps best practices to keep your models production-ready Timestamps: 00:44 Introduction 02:00 What Will Be Covered in the Video 02:30 What is Dataiku 04:25 What is Machine Learning 06:57 Machine Learning in Dataiku 20:03 MLOPs in Dataiku 23:55 Q&A Want to learn more about Dataiku and how to unleash the power of AI? Please visit: https://compassdata.ca