Explore the intricacies of building successful ML platforms in this insightful conference talk featuring Aman Khan from Arize AI and Gandalf Hernandez from Spotify. Delve into the challenges and best practices of MLOps, learning why the "if you build it, they will come" approach falls short in platform development. Discover the critical components that truly matter, from justifying the platform's existence to identifying its place within the broader ecosystem. Gain valuable insights on balancing business impact with technical specifications, and understand when buying solutions may be more advantageous than building from scratch. Benefit from the speakers' extensive experience as they share war stories, debate key questions, and offer guidance on distinguishing ML infrastructure from traditional software infrastructure. Equip yourself with the knowledge to become a power builder in the evolving field of ML platforms and observability.
Becoming an ML Platform Power Builder with ML Observability
MLOps World: Machine Learning in Production via YouTube
Overview
Syllabus
Becoming An ML Platform Power Builder Powered by ML Observability
Taught by
MLOps World: Machine Learning in Production
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