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One of the challenges with deploying AI is the ability to go from prototyping to production. Not just the ability to streamline and automate the process but also to do so in a reproducible fashion. AI is an iterative process and it is critical to rebuild a model such that improvement can be measured.

Adam Probst, a co-founder of ZenML, joins us in this episode to talk about MLOps and their open-source framework for reproducible AI pipelines.

Adam is joined by host Stephen Foskett (Gestalt IT) and co-host Frederic Van Haren (HighFens Inc.).

A link to this episode of the podcast “Utilizing AI” is here or click on the video below.

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