Deploying Model Artifacts in Hard Mode

Discover strategies for automating and streamlining complex model deployment processes in this insightful conference talk from MLOps World: Machine Learning in Production. Learn from Samantha Zeitlin, a Principal Machine Learning Engineer at Elastic, as she shares her experience tackling the challenge of automating a time-consuming, manual model retraining and redeployment process across two different product lines. Explore the obstacles faced when dealing with sparse documentation, ambiguous terminology, and legacy systems. Gain valuable insights into the collaborative approach taken to rewrite code for deploying seven different artifacts in under a month. Understand the tradeoffs made during the process, lessons learned the hard way, and future plans for improvement. This talk is particularly relevant for machine learning professionals dealing with complex deployment scenarios, legacy systems, or looking to optimize their MLOps workflows.