A CI/CD Framework for Production Machine Learning

In 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

As well as his role at Seldon, Alejandro is the Chief Scientist at the Institute for Ethical AI & Machine Learning, where he leads highly technical research on machine learning explainability, bias evaluation, reproducibility and responsible design.


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