Discover five crucial lessons for maximizing ROI on MLOps initiatives in this 30-minute conference talk from MLOps World: Machine Learning in Production. Learn from Stefan Krawczyk, CEO & Co-founder of DAGWorks Inc., as he shares insights gained while developing a self-service MLOps platform for over 100 data scientists at Stitch Fix. Explore the challenges of integrating various components such as A/B testing, feature stores, model registries, data catalogs, lineage systems, python dependencies, machine learning libraries, LLM APIs, orchestration systems, and more. Gain valuable knowledge on creating a cohesive MLOps platform, whether building in-house or purchasing off-the-shelf solutions. Understand what to prioritize and avoid to enhance the effectiveness of your MLOps initiatives, making this talk essential for anyone involved in MLOps implementation or improvement.
Overview
Syllabus
Getting Higher ROI on MLOps Initiatives
Taught by
MLOps World: Machine Learning in Production
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