At Stitch Fix we have 130+ “Full Stack Data Scientists” who in addition to doing data science work, are also expected to engineer and own data pipelines for their production models. One data science team, the Forecasting, Estimation, and Demand …
Third Generation Production ML Architectures: Lessons from History, Experiences with Ray
Production ML architectures (deployed at scale in production) are evolving at a rapid pace. We suggest there have been two generations so far: the first generation were very much fixed function pipelines with predetermined stages, the second …
Tying the Room Together: Apache Arrow and the Next Generation of Data Analytics Systems
In this talk, I will discuss the coming architectural shift in data analytics systems that has been enabled by the widespread adoption of Apache Arrow, a universal language-independent standard for analytical data processing, and companion …
Rethinking Feature Stores with Feast and Tecton
Feature stores have emerged as a pivotal component in the modern machine learning stack. They solve some of the toughest challenges in data for machine learning, namely feature management, storage, validation, serving, and reuse. However, many …
