In this talk, Hannes is providing insights into Machine Learning Engineering with TensorFlow Extended (TFX). He introduces how TFX for machine learning pipeline tasks and how to orchestrate entire ML pipelines with TFX. The audience learns how to run ML production pipelines with Kubeflow Pipelines, and therefore, free the data scientist’s time from maintaining production machine learning models.

About Hannes Hapke:

Hannes Hapke is a senior data scientist for Concur Labs at SAP Concur, where he explores innovative ways to use machine learning to improve the experience of a business traveler. Prior to joining SAP Concur, Hannes solved machine learning infrastructure problems in various industries including healthcare, retail, recruiting, and renewable energies. Additionally, Hannes has co-authored machine learning publications including the upcoming book on “Building Machine Learning Pipeline”.

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