Past Meetup

Lazada Tech Forum - Data is Magic II: eCommerce Intelligence

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AXA Tower

8 Shenton Way · Singapore

How to find us

Mezzanine Level,Visitor Center, 8 Shenton Way, #01-02 AXA Tower, Singapore 068811

Location image of event venue

Details

Data is Magic?
What is the true driving force and success factor behind Southeast Asia’s No.1 eCommerce business? How do we create the magic with our data to revolutionise the online shopping experience?
Find out more at our Lazada Tech Forum session!

Who should attend
Professionals in Data Engineering, Data Science, Business intelligence

Brief Event Information
Date: 27 Feb 2019
Time: 6.30pm - 9.30pm
Venue: Mezzanine Level,Visitor Center, 8 Shenton Way, #01-02 AXA Tower, Singapore[masked]
IMPORTANT: **Please bring along your business card and NRIC for registration**

Agenda:
6pm - 7pm: Registration and Refreshment
7pm – 8.30pm: Presentations

1. Bill Lang: Empower Lazada by Data Science Technologies
2. Yang Xiao Feng: Knowledge Graph for E-Commerce and its Applications in Lazada
3. Megan Yao: An insider's guide to Lazada Shopping promotion system
4. XiaoZhi: Make Recommendation Everywhere: How to build a large-scale data driven recommender system in E-commerce

8.30pm – 9pm: Round table Session
9pm - 9.30pm: Networking

Speakers:

Bill Lang - EVP, Head of Data Science
Bill Lang Jun, Ph.D., Senior staff engineer of Alibaba, obtained Ph.D. degree from Harbin Institute of Technology. He had been responsible for the R&D of Language Technology Platform (LTP) of Harbin Institute of Technology. And in Institute for Infocomm Research, Singapore, he had been worked for four years as research scientist and in charge of the statistical machine translation system R&D. From 2014, he has been senior staff engineer of Alibaba and ever worked for Search Division on leading Knowledge Graph R&D and Natural Language Processing, Damo Academy on Natural Language Processing Department as Director. Now he is leading Lazada Data Science team and lies passions on Southeast Asia's e-commerce frontline business driven by Recommendation, Data Mining, Operations Research, Natural Language Processing, and Machine Learning. He had published more than 20 research papers and also applied more than 20 patents. He has ever been PC members for IJCAI, IJCNLP, AIRS. Jun Lang was publication chair of the 9th Asia Information Retrieval Societies Conference, AIRS 2013. He has been awarded as Microsoft Research PhD Fellowship in 2008, First Prize of Weichang Qian -- Chinese Information Processing Science and Technology Award in 2010 and the Best Innovation Award of Taobao of Alibaba in 2016.

Yang Xiao Feng - VP, Lead of Data Mining
Yang Xiao Feng received his PhD degree in Computer Science at National University of Singapore. His research topic was National Language Processing and is the first authors of more than 10 scientific papers published in top NLP conferences and journals including ACL, Computational Linguistics, etc. He worked in Institute for Infocomm Research as research fellow and 35.com, a listed IT company in China, as R&D director. In 2018, Xiao Feng joined Lazada as lead of core foundation knowledge team. He is currently in charge of text mining and knowledge graph building projects.

Megan Yao - VP, Lead of Shopping Promotions
Megan Yao holds PH.D degree in computer science from Nanyang Technological University. She has over 10 years of industrial experience in data analytics and machine learning. She has been with Lazada for 3 years and currently leading the team in areas of promotion marketing mechanism and vouchers.

Xiaozhi - SVP, Lead of Recommendations
Xiaozhi has more than 12 years of experience in artificial intelligence, including search, computational advertising, recommendation, and machine learning. She has a master degree in Computer Science from Beijing Institute of Technology. Prior to working in Lazada, she contributed in the Taobao Search Team, Alimama Display Ads Tech Team and Taobao Recommendation Team. Currently, she spearheads our Lazada Recommendation Tech Team, leading projects such as the home page cards, Feed & Live Streaming channel and various projects for campaigns