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Speaker "Josh Bottum" Details Back

 

Topic

Kubeflow workshop

Abstract

As demonstrated by the thousands of attendees in the (14) Kubeflow sessions at KubeCon San Diego, Kubeflow continues to be the leading Kubernetes-based, open source project for machine learning. This session targets data scientists, ML engineers and product managers, who want to leverage Kubernetes to scale up their Machine Learning experiments.    In this presentation, Mr. Bottum will review the Kubeflow Community and examine ML use cases from market leaders.  Additionally, Mr. Bottum will discuss the features in the latest Kubeflow release, Kubeflow 1.0 and provide a quick Kubeflow workflow demonstration.

Attendees will learn a) the basics of Kubeflow, the ML toolkit for K8s, and b) how to build and deploy complex data science pipelines with Kubeflow Pipelines.  The tutorial review will focus on two essential aspects: 1. Low barrier to entry: deploy a Jupyter Notebook to Kubeflow Pipelines using a fully GUI-based approach. This workflow enables data scientists to exploit the scaling potential of K8s - no CLI commands, SDKs, or K8s knowledge required. 2. Reproducibility: automatic data versioning and volume snapshots will enable full reproducibility and collaborative development, as well as fine grained analysis and visualizations after pipeline executions. 


 

Profile

Josh is currently a Kubeflow Community Product Manager and a VP of Community Relations at Arrikto.  Since the Kubeflow v0.5 release (in 2019), Josh has helped to improve the Kubeflow user experience by triaging GitHub issues, running user surveys, gathering requirements, updating roadmaps, writing blog posts, and conducting demonstrations and presentations. Arrikto is a major code contributor to the open-source Kubeflow Community project.