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Hear from Datatonic and Delivery Hero how to use MLOps on Vertex AI to accelerate Machine Learning models into production.
Speakers
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Cian Cullinan
Data Engineer
Delivery Hero
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Thomas Nguyen
Engineering Manager
Delivery Hero
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Lucio Floretta
AI Services EMEA Lead
Google Cloud
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Jamie Curtis
Director of Machine Leaerning
Datatonic
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Jonny Browning
Principal MLOps Engineeer
Datatonic
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:
- Get an introduction to MLOps and Vertex AI
- Hear about Delivery Hero‘s MLOps journey
- Find out how to build a scalable MLOps Platform with Vertex AI + Datatonic’s MLOps Turbo Templates
Watch on-demand
Watch on-demand