Dean Pleban
Always learning and a builder at heart. Dean has worked on quantum optics and communication, computer vision, software development, and design – taking a multi-disciplinary approach and applying it to build products for data scientists and machine learning engineers.
Dean is currently the CEO & Co-Founder of DagsHub, a platform for data scientists and machine learning engineers, combining popular open-source tools and formats, to version their data, models, experiments, and code.
Dean is also the host of the MLOps Podcast, where he speaks with industry experts about getting ML models to production.
Sessions
We like talking about production – one famous, but probably wrong statement about it is “87% of data science projects never make it to production”.
While giving a talk to a group of up-and-coming data scientists, a question that surprised me came up:
When you say “production”, what exactly do you mean?
Buzzwords are great, but all the cool kids know what production is, right? Wrong.
In this talk, we’ll define what production actually means. I’ll present a first-principles, step-by-step approach to thinking about deploying a model to production. We’ll talk about challenges you might face in each step, and provide further reading if you want to dive deeper into each one.