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Thursday, May 23 • 14:00 - 14:35
Moving People and Products with Machine Learning on Kubeflow - Jeremy Lewi, Google & Willem Pienaar, GO-JEK

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GOJEK, the Southeast Asian super app, has experienced a massive increase in customer growth by leveraging machine learning throughout its products. However, building production grade machine learning systems is still fraught with challenges and delays. In order to address these challenges GOJEK has adopted Kubeflow, a fully open source cloud native platform for machine learning.

In this talk you will learn how Kubeflow empowers teams at GOJEK by increasing the speed at which they turn ideas into products. One of these products, the GOJEK driver (blog post: http://bit.ly/2MhujA1) allocation system, has been built from the ground up on Kubeflow, and fully utilizes cloud native tooling. We will show how Kubeflow, which leverages Kubernetes and Istio, simplifies the process of rapidly training, deploying, and evaluating models on this multi-objective ML system.

Speakers
avatar for Jeremy Lewi

Jeremy Lewi

Senior Software Developer, Google
Jeremy Lewi is a co-founder and lead engineer at Google for the Kubeflow project, an effort to help developers and enterprises deploy and use ML cloud-natively everywhere. He's been building on Kubernetes since its inception starting with Dataflow and then moving onto Cloud ML Engine... Read More →
WP

Willem Pienaar

Data Science Platform Lead, GO-JEK
Willem Pienaar leads the Data Science Platform Team at GOJEK, the Southeast Asian super app. His main focus areas are building data and ML platforms, allowing organizations to scale machine learning and drive decision making. The GOJEK ML platform is built on Kubernetes, and supports... Read More →



Thursday May 23, 2019 14:00 - 14:35
Hall 8.0 C1