Kubeflow at OSCON 2019

A quick guide to the ML Ops talks on offer

We are excited that O’Reilly’s Open Source Software Conference (OSCON) has added “AI Enhanced” as an official track this year, exploring topics around applied artificial intelligence and machine learning. A majority of those talks will tackle the open source tools and best practices that ML professionals are developing to operationalize machine learning models & workflows.

There will be a bunch of Kubeflow contributors and users attending OSCON to discuss how they are approaching ML Ops.

To get the most out of the conference, attend one of the Kubeflow-related talks listed below. If you want to chat with other Kubeflowers attending, join the #oscon channel on Kubeflow Slack!

Tuesday, July 16

• 9.00am-5.00pm — ML Ops Day: Managing the end-to-end ML lifecycle (sponsored by IBM)
• 11.00am–11.45am — AI pipelines powered by Jupyter notebooks, Luciano Resende (IBM)
• 11.45am-12.30pm — Kubernetes for machine learning: Productivity over primitives, Sophie Watson (Red Hat), William Benton (Red Hat)
• 1.30pm-5.00pm — Building a secure and transparent ML pipeline using open source technologies, Animesh Singh (IBM), Svetlana Levitan (IBM), Tommy Li (IBM)
• 1.30pm-5.00pm— Introduction to Kubeflow Pipelines, Dan Anghel (Google)
• 2.00pm–2.30pm— Machine learning infrastructure at GitHub using Kubernetes, Michal Jastrzębski (GitHub), Hamel Husain (GitHub)
• 4.05pm–4.40pm — End-to-end ML streaming with Kubeflow, Kafka, and Redis at scale, Nick Pinckernell (Comcast)

Wednesday, July 17

• 1.45–2.25pm — End-to-end transparent, secure, and trusted machine learning pipelines using open source technologies (sponsored by IBM), Animesh Singh (IBM)
• 1.45pm-2.25pm — Introducing Kubeflow with special guests TensorFlow and cross-cloud machine learning, Holden Karau (Google), Trevor Grant (IBM)
• 4.15pm-5.10pm — Overview & Office Hours: Google OSS for Machine Learning, Thea Lamkin (Google), Google Cloud Booth