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Reaching the full potential of production machine learning

Reaching the full potential of production machine learning

Cloudera
Published By: Research Desk Released: Oct 16, 2020

Get guidance on overcoming machine learning’s scalability problem 

The goal of any enterprise machine learning initiative is to deliver new business value. For that to happen, models eventually have to move into production. It’s that leap from the lab to the production environment where most enterprises fall short. That’s where machine learning operations (MLOps) comes in by offering a set of best practices from experimentation to production that machine learning teams use to help manage and govern models at scale.

Read this eBook to: Understand why MLOps plays a critical role in a sustainable, scalable enterprise machine learning production environment Learn what the key capabilities are for production machine learning at scale Get a view of how CML with MLOps is poised to change the enterprise machine learning landscape.

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