Sat.Oct 22, 2016 - Fri.Oct 28, 2016

article thumbnail

How Failing Fast Drives us Forward at Zalando Tech

Zalando Engineering

At Zalando, we try to live a mentality of failing fast. The context here is not a failure of the person or the group involved, but rather a chance to learn from the mistakes that were made. If you fail fast, you are also able to right the wrongs much quicker. Failing fast can be a golden opportunity, and our team (Team Sokoban) tried to apply this mentality during the beginning of our stock rebuild.

article thumbnail

Deep Learning for Understanding Consumer Histories

Zalando Engineering

At Zalando AdTech Lab Hamburg, we develop techniques to predict the future behavior of consumers based on their interaction history on Zalando with the goal of delivering better consumer experiences. Recurrent neural networks (RNNs) , one of the major classes of deep learning methods, offer us two benefits: (1) By processing raw consumer histories, RNNs provide accurate prediction models without requiring tedious feature engineering efforts. (2) Furthermore, we can interpret their reasoning when

article thumbnail

Data Science and AI in the Spotlight with our VP, Alex Rahin

Zalando Engineering

As our work and investment in Data Science and AI continue to grow, we’ve added to our recent good news on the hiring front here at Zalando Tech. Now that he’s fully onboarded, we’d like to introduce Alex Rahin, our new VP of Data and Machine Learning Platforms. Alex joins us with extensive product experience from Amazon, Microsoft, Intel, and several technology startups.