From POC to Production
Transitioning from a proof of concept to a production-ready system in the data and machine learning world can be fraught with challenges. Emphasizing the need for a robust infrastructure from the outset, Igor highlights the pitfalls of treating initial efforts as mere experiments. He advocates for a comprehensive approach that considers all use cases and requirements to avoid painful migrations later on.In this clip
From this podcast
MLOps.community
How to Avoid Suffering in Mlops/Data Engineering Role // Igor Lushchyk // MLOps Meetup #55
Related Questions