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#FridayLearnings Episode 3: Applying Machine Learning in E-Commerce UX Design

#FridayLearnings Episode 3: Applying Machine Learning in E-Commerce UX Design

Youran You, UX Lead, Alibaba

About this Event:

Welcome to Lazada’s #FridayLearnings, a series of free learning sessions offered by Ecommerce experts to the community whereby everyone can learn and grow from each other. This is the platform and home for SEA e-commerce expertise, supporting online merchants, collaborating with peers who are going through the same challenges as we make things easier, and providing an environment where merchants can network, learn and thrive together. Our goal here is to build a community of eCommerce sellers who can learn and grow from each other.

Today’s shopping has been taking place online widely. To serve various needs of all kinds of customers, design in e-commerce is evolving to a new era to leverage the power of machine learning. With the assistance of machines, interface designers could maintain design systems easily, exploring many more different design solutions, and coming up with personalized solutions according to individual preference. To kick start the New year, and in this exciting episode, Youran will share her experience of how designers could start using machine learning knowledge and tools to become more powerful especially in the e-commerce field.

About the speaker:

Youran You, UX Lead in Alibaba

Youran You has been staying in China and Denmark, worked for LEGO, Qualcomm, Lazada, and now at Alibaba leading ADI (artificial design intelligence) in Taobao Front-end Technology team. With passion in both the design & tech fields, she is dedicated to making interface design more personalized serving individual preferences and needs. She believes human power should be spent in more creative fields, and designers can learn how to use machine learning to assist in daily design work.

Subscribe to #FridayLearnings Channel on YouTube: https://www.youtube.com/channel/UCbEfaKTu6uRNzwYJkxnDhdw/

Register
Date
Friday, 29 January 2021 - Friday, 29 January 2021

Time
3.30 pm - 4.30 pm

Venue
Virtual

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