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Governing the ML lifecycle at scale, Part 4: Scaling MLOps with security and governance controls | Amazon Web Services

Governing the ML lifecycle at scale, Part 4: Scaling MLOps with security and governance controls | Amazon Web Services

Data science teams often face challenges when transitioning models from the development environment to production. These include difficulties integrating data science team’s models into the IT team’s production environment, the need…

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https://aws.amazon.com/blogs/machine-learning/governing-the-ml-lifecycle-at-scale-part-4-scaling-mlops-with-security-and-governance-controls/

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