From PoC to Production
Many organizations remain at the proof of concept stage, focusing on technical feasibility without progressing to production. To truly lead in the field, it's essential to consider how to deploy algorithms effectively in complex environments, particularly with new data streams. Upskilling in these areas is crucial, as few are currently equipped to handle the intricacies of deployment and inference.In this clip
From this podcast
Super Data Science: ML & AI Podcast with Jon Krohn
SDS 447: Commercial ML Opportunities Lie Everywhere — with Michael Segala
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