MLOps Beyond Training - Simplifying and Automating the Operational Pipeline

Explore a production-first approach to MLOps in this comprehensive conference talk by Yaron Haviv, Co-Founder & CTO of Iguazio. Discover how to design and implement a continuous operational pipeline for machine learning projects, focusing on automating components and measuring business metrics. Learn about the challenges in operationalizing machine and deep learning, and gain insights into creating modular strategies that simplify the transition from research and development to scalable production pipelines. Examine real-world implementations and examples, covering various stages such as automating feature creation with feature stores, building CI/CD automation for models and apps, deploying real-time application pipelines, observing model and application results, creating feedback loops, and re-training with fresh data. Gain valuable knowledge on how to generate measurable ROI for businesses through efficient MLOps practices.