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Putting Data Science in Production

  • Lindholmen Conference Hall 5 Lindholmspiren Västra Götalands län, 417 56 Sweden (map)

Abstract

Zalando is using data science in many places, for example, to make the customer experience more personalized. Taking data science methods to production has a number of challenges, which goes far beyond simply training a model with high prediction accuracy. In this talk, I want to talk about three aspects: how to build data science products, how to build architectures to deliver data science products, and how to organize a team to efficiently deliver data science products. This is definitely a journey, but I hope what I have learned is valuable to some.

Mikio Braun.jpg

Mikio Braun

AI Architect @ Zalando

Mikio is working at Zalando in the Search&Personalization department, supporting and enabling teams to bring AI and ML to the customer. He has a 10+ years background as a researcher in machine learning, both on developing new learning methods and various application areas. Mikio is a frequent talker at conferences on data science, scalable machine learning, and all the rest.