Drive your ML like Mario Andretti. Get it operationalized.
Speed demon Mario Andretti is a racing legend. His success can be attributed to well-established routines that have been fully operationalized.
Operationalized you say? What does that mean?
It means every component of his racing career has been tuned for success. It includes a high-performance vehicle (tools), the support of a seasoned crew (people), and loads and loads of track time on tough-to-navigate courses (process).
MLOps defines the people, the process, and the tools to achieve Mario Andretti-like performance for your machine learning models.
In this talk Kevin Hartman, Practice Director of Data Science and Machine Learning Engineering at Unify Consulting, will dive into the “pit crew” of MLOps and take a look at who does what (and when) to make your models fully operational.