May 2-4, 2018 - Copenhagen, Denmark
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Friday, May 4 • 14:45 - 15:20
Serving ML Models at Scale with Seldon and Kubeflow - Clive Cox, Seldon.io (Intermediate Skill Level) (Slides Attached)

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Open source machine learning tools to manipulate and store “big” data and apply complex algorithms to this data have matured greatly in recent years. However, the final step in any successful machine learning project is to put the models into production with exposed APIs as well as monitor, scale and continuously update them. Kubernetes offers the ideal platform to build an ML deployment platform. This talk will review some of the challenges in deploying machine learning models and discuss Kubernetes focused open source projects (Seldon Core, KubeFlow) that provide solutions.

avatar for Clive Cox

Clive Cox

CTO, Seldon
Clive is the CTO at Seldon. He works on Seldon's open source machine learning deployment platform Seldon Core as well as contributing to Kubeflow focusing on ML inference. If your organisation needs an ML deployment solution feel free to contact me.

Friday May 4, 2018 14:45 - 15:20