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Welcome to this episode of the Analytics Everywhere podcast! In episode #6, Max chats with Byron Allen, the ML Practice Lead at Contino. In this episode, we chat about a variety of topics around the challenges of operationalizing data:

- organizational difficulties around data (data mesh vs centralized data warehouse / governance)

- what a semantic layer really is

- thin vs thick semantic layers

- entity / dataset centric modelling

- the idea of a unified semantic layer for ML and BI

- batch vs real-time ML use cases

- experimentation frameworks

- and much much more!

We hope you enjoy this episode!

Analytics Everywhere #6: Semantic Layer for Machine Learning with Byron Allen

The Preset Podcast