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.
Presenter Bio
Tulia HerreraDirector 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.
