Why do many data science projects not make it to production?

Описание: Navigating the wide range of available MLOps tools can be especially difficult for organizations new to AI or those that have not yet deployed systems at scale. Violet Turri (Mission-Centric Engineering Team Lead) and Emily Newman (Associate Machine Learning Engineer) in the AI Division at @TheSEICMU discuss why many data science projects don't make it to production, and what beginners can do to deepen their understanding of MLOps.

#mlops #machinelearning