Paul Bridi, Principal Product manager at Seldon, walks through how to design, run, and evaluate machine learning experiments in production using Seldon Core. From A/B testing to shadow deployments, you’ll see how Core’s Kubernetes-native architecture simplifies the orchestration of advanced experimentation strategies without downtime or disruption.
Whether you’re building recommender systems, fraud models, or infrastructure to manage model versioning at scale, this webinar offers a practical blueprint for real-world experimentation workflows.
