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Machine Learning for Retail & eCommerce

Tuesday, October 22, 11 AM ET

Key Takeaways

  • Learn which retail business problems are amenable to using machine learning.
  • Learn how to harness machine learning for business impact.
  • Learn how machine learning teams can successfully interact with commercial teams.

Your Presenter(s)

Tulia Herrera headshot

Tulia Herrera

Director of Applied Science at Amazon

Tulia manages a team that applies machine learning to Amazon's retail problems. She has experience using data to solve many retail problems, including marketing, merchandising, sales and service enablement, pricing, and profitability. Tulia has built many data and machine learning teams from scratch and has run departments of over 150 people. She was previously the Director of Machine Learning at Wayfair.

Why this matters

eCommerce has many problems that machine learning can help solve. Machine learning can drive immense value in eCommerce and retail, from inventory management to dynamic pricing to product recommendations. 

In this session, Tulia Herrera, Director of Applied Science at Amazon, teaches you what retail problems machine learning can be used to solve. You'll learn how important ML techniques, from experimentation to generative AI, can be used in a business context.

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