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Building ML Blocks with Kubeflow Orchestration with Feature Store

Posted Jul 21, 2021 | Views 1.3K
# Open Source
# Coding Workshop
# Presentation
# Kubeflow
# Feature Store
# Publicissapient.com
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Speakers

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Aniruddha Choudhury
Senior Datascientist @ Publicis Sapient

Aniruddha is a Senior data scientist with experience over 5 years across various industry experiences for AI/ML journey. He is experienced in building the MLOps domain across various multi-cloud solutions for various AI synergies.

Aniruddha is a passionate AI researcher to transform the data into a machine learning end-to-end production journey to ease the life of Business users.

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Demetrios Brinkmann
Chief Happiness Engineer @ MLOps Community

At the moment Demetrios is immersing himself in Machine Learning by interviewing experts from around the world in the weekly MLOps.community meetups. Demetrios is constantly learning and engaging in new activities to get uncomfortable and learn from his mistakes. He tries to bring creativity into every aspect of his life, whether that be analyzing the best paths forward, overcoming obstacles, or building lego houses with his daughter.

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SUMMARY

In this talk, Aniruddha is presenting the Kubeflow with feature store end-to-end training and serving the model, build the Lego blocks for online and offline data ingestion with spark and Kafka alongside Redis, monitor the metrics in Grafana and Prometheus, and the whole architecture building in GCP.

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