Automating ML Infrastructure // Rob Hirschfeld // MLOps Podcast #164 short clip

MLOps Coffee Sessions #164 with Rob Hirschfeld, Open Source and Fast Decision Making.

Explore the significance of automating code and infrastructure in machine learning (ML) workloads. Emphasize the advantages of immutability and artifact-based approaches in achieving reliability and streamlining deployments. Legacy code can coexist with immutability through automated processes, allowing organizations to leverage the benefits while maintaining their ML applications. By embracing automation and these principles, organizations can achieve efficiency, reliability, and scalability in managing ML workloads.

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Rob …

advantages artifact automated clip code coffee decision decision making immutability infrastructure machine machine learning making mlops open source podcast reliability rob significance through workloads