Machine Learning and Big Data in E-Commerce, from A to Z

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Last year I moderated a panel on machine learning and big data in e-commerce at the Data Natives conference in Berlin, Germany. The panelists were Cedric Archambeau, senior manager of machine learning science at Amazon, and Lina Weichbrodt, data scientist at Berlin-based e-commerce giant Zalando.

Amazon logoZalando logo

The folks at Data Natives just posted the session recording, which I’m happy to share here.


Machine Learning in E-Commerce Panel

 

Machine Learning Issues in E-Commerce

Listen in to our discussion to learn:

  • How is data science organized at Amazon and Zalando?
  • Where are they applying machine learning and advanced analytics in the business?
  • How do they manage the data science lifecycle, and get models into production?
  • What metrics do they optimize for? How do they balance short- and long-term business goals in their ML models?
  • How do they create a company culture supporting data science?
  • Where does big data come into play, and how do they deal with it?
  • How is cloud computing used to support their efforts?
  • What techniques are used to ensure privacy?
  • What approaches are they taking to broaden the adoption of data science within their organizations?
  • How do design and usability intersect with predictive analytics?
  • Where are the biggest opportunities for analytics and big data in e-commerce?

I’ll be talking to more data scientists and machine learning users over the upcoming months, and sharing those discussions here. If there are things you would like to know or industry use-cases you would like me to explore, please let me know in the comments.

 

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