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Wednesday, October 7 • 7:35am - 8:05am
A CI/CD Framework for Production Machine Learning at Massive Scale (using Jenkins X and Seldon Core) - Alejandro Saucedo, Seldon

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Managing production machine learning systems as internal data science infrastructure requirements grow, has uncovered new challenges which have required fundamentally different approaches to that of traditional CI/CD in software engineering. In this talk we will dive into the work we are doing at the SIG-MLOps and the CD Foundation towards developing the methodoloties that encompass  best practices to continuously integrate and deploy machine learning in production at massive scale. In this talk we'll provide key insights on the core MLOps concepts, as well as a hands on coding example where we take a text classificaiton model through its training, deployment and promotion as canary and shadow deployments, which will also allow us to get deeper and more specific insight on our production environment.

avatar for Alejandro Saucedo

Alejandro Saucedo

Engineering Director, Seldon Technologies
Alejandro Saucedo is the Director of Machine Learning Engineering at Seldon Technologies, where he leads teams of machine learning engineers focused on the scalability and extensibility of machine learning deployment and monitoring products with over 5 million installations. Alejandro... Read More →

Wednesday October 7, 2020 7:35am - 8:05am PDT
Track Two
  • Presentation Slides Attached Yes