12 Jun
Webinar

Introduction to Kubeflow

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An MLOps solution for Data Teams

As datasets continue to expand and models become more complex, distributing machine learning workloads across multiple nodes is becoming more attractive. However, this can lead to computational overhead and added complexity. Join Datatonic and Google Cloud experts to find out how Kubeflow can offer an ML Ops solution for your Data Teams.

  • What you will learn Understand what Kubeflow is and how you can leverage Kubeflow Pipelines for your MLOps.
  • Who should attend Data scientists and data engineers who are familiar with machine learning.
  • What you need This is an introductory talk so no experience with Kubeflow required.
Agenda
10.00
What is Kubeflow
10.15
What is Kubeflow Pipelines
10.30
Comparison with other MLOps solutions
10.45
Can Kubeflow standardise your MLOps?
11.15
Q&A
Speakers
Sam Gurriero
Senior ML Engineer
Datatonic
Sepi Pouryahya
Chief Scientist
Datatonic
Tuba Islam
ML Specialist
Google
Location
Digital Event: please register for webinar details
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