Calvin Seward Interview – Deep Learning for Warehouse Operations
This week, I’m happy to bring you my interview with Calvin Seward, a research scientist with Berlin, Germany based Zalando. While our American listeners might not know the name Zalando, they’re one of the largest e-commerce companies in Europe with a focus on fashion and shoes. Calvin is a research scientist there, while also pursuing his doctorate studies at Johannes Kepler University in Linz, Austria. Our discussion, which continues our Industrial AI series, focuses on how Calvin’s team tackled an interesting warehouse optimization problem using deep learning. Calvin also gives his thoughts on the distinction between AI and ML, and the four P’s that he focuses on: Prestige, Products, Paper, and Patents.
The notes for this show can be found at twimlai.com/talk/38.
iTunes ➙ https://itunes.apple.com/us/podcast/this-week-in-machine-learning/id1116303051?mt=2
Soundcloud ➙ https://soundcloud.com/twiml
Google Play ➙ http://bit.ly/2lrWlJZ
Stitcher ➙ http://www.stitcher.com/s?fid=92079&refid=stpr
RSS ➙ https://twimlai.com/feed
Twimlai.com ➙ https://twimlai.com/contact
Twitter ➙ https://twitter.com/twimlai
Facebook ➙ https://Facebook.com/Twimlai
Medium ➙ https://medium.com/this-week-in-machine-learning-ai