Shanghai, China
June 24–26, 2019
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Wednesday, June 26 • 09:45 - 10:20
Build an Event Driven Machine Learning Pipeline on Kubernetes - Animesh Singh & Hou Gang, IBM

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AIOps as a field is becoming the need of the hour. With various Machine Learning capabilities coming in different open source projects, and pipelines being built, having a transparent AI pipeline which can notify users of any data drift, bias detection, model accuracy loss etc. is becoming key. In addition, we need capabilities to build a Data Scientists code from source, orchestrate the code, and automate the pipeline.

In this talk we will leverage Kubernetes components like build, eventing, serving and pipelines to show how to build an end to end AI pipeline which we detect any events happening, notify and take actions, can build and run data scientists code, do A/B testing, dark launch, and orchestrate the whole workflow from Model training, validation, serving, and operations. We will focus primarily on eventing and pipeline CRDs from Kubernetes to show this can be automated.

avatar for Animesh Singh

Animesh Singh

Executive Director, AI and ML Platform at LinkedIn, LinkedIn
Executive Director, AI and ML Platform at LinkedIn | Ex IBM Distinguished Engineer, CTO and Executive Director, Watson AI and Data Open Tech | Founder at Kubeflow | Ex LFAI Trusted AI NA Chair Executive Director, AI and ML Platform at LinkedIn. Leading the next generation AI and ML... Read More →

Hou Gang, Liu

Advisory Software Developer, IBM
Worked on Openstack nova, kubernetes and AI by spark. Now focus on AI on Cloud.

AIOps pdf

Wednesday June 26, 2019 09:45 - 10:20 CST