Abstract
As data scientists we enjoy getting to see the impact of our models in the real world, but if we can’t get that model into production, then the data value chain ends there and the rewards that come with having high-impact research deployed to production will not be achieved. The model will effectively be dead in the model graveyard, the place where data science models go to die.
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© 2023 The Author(s), under exclusive license to APress Media, LLC, part of Springer Nature
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Sorvisto, D. (2023). Introducing MLOps. In: MLOps Lifecycle Toolkit. Apress, Berkeley, CA. https://doi.org/10.1007/978-1-4842-9642-4_1
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DOI: https://doi.org/10.1007/978-1-4842-9642-4_1
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Publisher Name: Apress, Berkeley, CA
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