A CI/CD Framework for Production Machine Learning at Massive Scale

About this webinar

Managing production machine learning systems at scale has uncovered new challenges that have required fundamentally different approaches to that of traditional software engineering and data science. In this talk, Alejandro Saucedo, Engineering Director at Seldon provides key insights on MLOps, which often encompasses the concepts around monitoring, deployment, orchestration and continuous delivery for machine learning.


Alejandro Saucedo

ML Engineering Director

What you'll learn

  • What is a CI/CD Pipeline
  • How to implement a CI/CD Pipeline
  • How to scale your deployment for continuous delivery

Watch the video

See it for yourself

Serve, monitor, explain, and manage your models today.

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