ML Deployment Challenges
Anthony discusses the challenges of transitioning machine learning models from prototypes to production systems, highlighting the critical bottleneck between data scientists and data engineers. Startups are emerging to address this gap, drawing inspiration from internal systems developed by tech giants like Google and Uber.In this clip
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