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Strategies and Principles to Scale and Evolve MLOps - at QCon London

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Strategies and Principles to Scale and Evolve MLOps - at QCon London

At the QCon London conference, Hien Luu, senior engineering manager for the Machine Learning Platform at DoorDash, discussed strategies and principles for scaling and evolving MLOps. With 85% of ML projects failing, understanding MLOps at an engineering level is crucial. Luu shared three core principles: "Dream Big, Start Small," "1% Better Every Day," and "Customer Obsession."

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Strategies and Principles to Scale and Evolve MLOps - at QCon London

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Strategies and Principles to Scale and Evolve MLOps - at QCon London

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