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Getting a Machine Learning model into production is hard. And once in production, ML models can create constant challenges with degradation and model drift.
Google Cloud’s Vertex AI provides a unified AI platform to implement MLOps at scale, but how do you get started?
We’ve made things easier and faster for data scientists and engineers with our latest open-source initiative. Using Google’s latest ML advancement, Vertex AI, our readily available templates help you accelerate models into production + enable automated and efficient maintenance.
In our video, you will:
Guests
Do you want to know more about the best tools for your MLOps platform? Download our MLOps Tools Guide here.
Know exactly where and how to start your AI journey with Datatonic’s
three-week AI Innovation Jumpstart *.
* Duration dependent on data complexity and use case chosen for POC model
With your own data sets, convince your business of the value of migrating your data warehouse, data lake and/or streaming platform to the cloud in four weeks.
With your own data, see how Looker can modernise your BI needs
with Datatonic’s two-week Showcase.