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Differences Between Shipping Classic Software and Operating ML Models with a Lead MLOps Engineer at TMNL Simon Stiebellehner, and neptune.ai CEO Piotr Niedzwiedz

ML Platform Podcast

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Data Science

There is a debate in the industry about where data scientists, how they should be placed in the organization. I think starting out centrally is a lot easier there because the data science is too higher, they will be together. The larger companies become, the more widespread data science becomes in the company,. More they should be embedded in product teams.

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