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Kubeflow Summit, October 2019 Day 1 Agenda
Thea Lamkin edited this page Oct 28, 2019
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| Time (PT) | Session | Speakers |
| 8.00am | REGISTRATION & BREAKFAST | |
| 9.00am | Welcome Keynotes | Thea Lamkin (Google), Jeremy Lewi (Google), David Aronchick (Microsoft), Josh Bottum (Arrikto) |
| 9.30am | Kubeflow Integration and Experiments at LinkedIn |
Abin Shahab, Frank Gu, Zhonglin Han & Mingzhou Zhou (LinkedIn) |
| 9.50am | Kubeflow at Spotify | Josh Baer (Spotify) |
| 10.10am | Kubeflow at CERN | Michelle Casbon (Google) |
| 10.30pm |
MORNING BREAK |
Coffee and snacks |
| 11.00am |
Usage Lightning Talks |
10 minutes each |
| Kubeflow: Smoothing Out The Kinks |
McKenzie Baker (Kumulus Technologies) | |
| Supporting Distributed Tensorflow with Kubeflow Operators |
Kevin Black & CJ Zheng (Bloomerg) | |
| Developing XGBoost Pipeline Natively on Kubernetes |
Mingjie Tang (Ant Financial) | |
| Simplifying the Creation of Machine Learning Workflow Pipelines for IoT Applications with Kubeflow | Timo Mechler (SmartDeployAI) | |
| End-to-end Example: Consumer loan acceptance scoring using Kubeflow |
Radovan Parrak (Credo) | |
| Deploying and running Kubeflow on Anthos: KFP and long-running jobs with on-prem GPUs | Barton Rhodes (DaVita) & Maulin Patel (Google) | |
| Fintech: Porting a Custom ML Model to Kubeflow |
Laura Schornack (JP Morgan) & Josh Bottum (Arrikto) | |
| 12.30pm | LUNCH | Food trucks! |
| 1.30pm | Scalable Hyper-parameter Optimization using Katib | Johnu George (Cisco) & Richard Liu (Google) |
| 1.50pm |
Technical Lightning Talks |
10 minutes each |
| Moving ML to production - lessons learned on building pipelines at OpenX |
Michal Brys (OpenX) | |
| Building a Scalable, Performant, and Portable Deep Learning Pipeline with Kubeflow, Tensorflow, and Minio | Karthik Rao (Dgraph Labs) | |
| How Pachyderm and Kubeflow Make Data Versioning Easy |
Dan Jeffries (Pachyderm)) | |
| ML CI/CD: A low hanging waiting to be plucked |
Hamel Husein (GitHub) | |
| Automated Experiment and Artifact Tracking for Kubeflow |
Yaron Ekshtein (Iguazio) | |
| 2.50pm | Facets of reproducible research on Kubernetes |
Sophie Watson & William Benton (Red Hat) |
| 3.10pm | AFTERNOON BREAK | Coffee and snacks |
| 3.40pm | Running TFX end to end in hybrid clouds leveraging Kubeflow Pipelines | Animesh Singh & Tommy Li (IBM) |
| 4.00pm | From Training to Explainability via GitOps | Ryan Dawson (Seldon) |
| 4.20pm | A new Kubeflow Pipelines SDK for ML at Scale | Pavel Duornov & Jessie Zhu (Google) |
| 4.40pm | Introducing KFServing: Serverless Inference Across ML Frameworks | Dan Sun (Bloomberg) & Ellis Bigelow (Google) |
| 5.00pm | Closing Notes | Thea Lamkin & Abhishek Gupta (Google) |
| 5.15pm | RECEPTION | Catered bites and drinks |
| Time (PT) | Topic | Presenters |
|---|---|---|
| 1.30pm | Introduction to Kubeflow & Kubeflow Pipelines | Karl Weinmeister & Amy Unruh (Google) |
| 3.30pm | Break | Coffee and snacks will served and available 3.10-3.40pm |
| 3.40pm | Kubeflow Pipelines Deep Dive | Alexey Volkov (Google) |
| 4.30pm | MiniKF Tutorial | Josh Bottum (Arrikto) |
| 4.45pm | Installation Office Hours | TAs will be abailable through 5.15 pm for GCP, AWS, IBM, Azure & MiniKF |