Explore how to leverage Argo Workflows and Argo Events for cloud-agnostic enterprise machine learning deployments and model management in this 25-minute conference talk. Discover best practices for integrating machine learning into product pipelines using standard software engineering techniques. Learn how to implement a continuous deployment environment stack for containerizing and deploying Argo workflows for data ingestion, transformation, and feature store curation. Understand the process of triggering model retraining and redeployment using Argo workflow pipelines, including scheduled events, message queue updates, and external storage data changes. Gain insights into the challenges faced and lessons learned while implementing this MLOps approach, and receive recommended best practices for teams considering the Argo workflow solution.