Episode 14: Decision Science, MLOps, and Machine Learning Everywhere

Hugo Bowne-Anderson, host of Vanishing Gradients, reads 3 audio essays about decision science, MLOps, and what happens when machine learning models are everywhere.
Links
Our upcoming Vanishing Gradients live recording of Data Science and Decision Making Under Uncertainty with Hugo and JD Long! (https://www.eventbrite.com/e/data-science-and-decision-making-under-uncertainty-tickets-467379864757?aff=vg)
Decision-Making in a Time of Crisis (https://www.oreilly.com/radar/decision-making-in-a-time-of-crisis/) by Hugo Bowne-Anderson
MLOps and DevOps: Why Data Makes It Different (https://www.oreilly.com/radar/mlops-and-devops-why-data-makes-it-different/) by Ville Tuulos and Hugo Bowne-Anderson
The above essay syndicated on VentureBeat (https://venturebeat.com/business/mlops-vs-devops-why-data-makes-it-different/)
When models are everywhere (https://www.oreilly.com/radar/when-models-are-everywhere/) by Hugo Bowne-Anderson and Mike Loukides

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