The enterprise machine learning life cycle is expanding as firms increasingly look to automate their production ML systems. MLOps is an ML engineering culture and practice that aims at unifying ML system development and ML system operation enabling shorter development cycles, increased deployment velocity, and more dependable releases in close alignment with business objectives.
Learn how to construct your systems to standardize and manage the life cycle of machine learning in production with MLOps on Google Cloud.
Speaker: Nate Keating
Google Cloud Next ’20: OnAir → https://goo.gle/next2020
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product: ML Pipelines, MLOPs; fullname: Nate Keating;
Publisher: Google Cloud
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