Databricks as the Backbone of MLOps: From Orchestration to Inference
Overview
Tuesday
June 10
5:20 pm
Experience | In Person |
---|---|
Type | Breakout |
Track | Data Engineering and Streaming |
Industry | Enterprise Technology |
Technologies | Apache Iceberg, Databricks Workflows, Unity Catalog |
Skill Level | Intermediate |
Duration | 40 min |
As machine learning (ML) models scale in complexity and impact, organizations must establish a robust MLOps foundation to ensure seamless model deployment, monitoring and retraining. In this session, we’ll share how we leverage Databricks as the backbone of our MLOps ecosystem — handling everything from workflow orchestration to large-scale inference.
We’ll walk through our journey of transitioning from fragmented workflows to an integrated, scalable system powered by Databricks Workflows. You’ll learn how we built an automated pipeline that streamlines model development, inference and monitoring while ensuring reliability in production. We’ll also discuss key challenges we faced, lessons learned and best practices for organizations looking to operationalize ML with Databricks.
Session Speakers
Cyd Kristoff Redelosa
/Senior Expert - MLOps
Globe Telecom
Reinier Veral
/Asst. Director MLOps
Globe Telecom