WEBINAR: Scale ML Innovation on AWS with Kubeflow and SageMaker 7 October 2020

 

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OCTOBER 7 | 11 AM PT | 2 PM ET Join Provectus and AWS as we explain how to build an end-to-end infrastructure for machine learning using Kubeflow and SageMaker, and show why MLOps and reproducible ML are key to enabling the delivery of ML-driven innovation at scale that results in: Faster time to market of ML-based solutions More rapid rate of experimentation and innovation Assurance of quality, trustworthiness, and ethical AI At the webinar, we will also discuss what goes into building such fundamental components of ML infrastructure as a reusable feature store, reproducible experimentation and model training pipelines, CI/CD for MLOps, and production monitoring and model re-training. This webinar is ideal for IT decision-makers, data scientists, and DevOps engineers. It is illustrated with real-world case studies. RESERVE YOUR SEAT Can’t make it to the webinar? Register anyway anyway to receive a link to the recorded session once it’s available.