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Exploring the MLOps maturity model

Exploring the MLOps maturity model - Google Cloud Tutorial

From the course: Google Cloud Professional Cloud Architect Cert Prep: 4 Analyzing and Optimizing Technical and Business Processes

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Exploring the MLOps maturity model

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- All major vendors in the MLOps space have their concept of an MLOps maturity model. Really what it means is there's several different phases of going from a crude working, where you can barely get things, you know, into production, and things are error prone and manual all the way to a very sophisticated system that has really end-to-end automation, and uses the next generation of features. So let's go ahead and dive into how these different vendors compare against their ML maturity models. First up, we have the AWS platform here. And let's take a look at how they think about MLOps maturity, you can see that in terms of getting models into production or, you know, operationalizing things that the more you have these capabilities, the more models are going to be in production, the faster you can go, and the more mature your organization is. So initially you have to have the ability to experiment, right? If you can't…

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