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Rethinking The Framework for Data With Chu-Cheng Hsieh of Etsy

Posted Oct 06
# TransformX 2021
# Breakout Session
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SPEAKER
Chu-Cheng Hsieh
Chu-Cheng Hsieh
Chu-Cheng Hsieh
Chief Data Officer @ Etsy

Chu-Cheng manages the data org across Etsy globally, including engineering, data science, and machine learning. Partnering with Etsy’s product and business executives, he develops the data strategy, represents data science, and drives high-impact decisions. He is specialized in search engine technology, recommendation systems, and machine learning technology. His primary responsibility is to deliver strategic and creative data science approaches that help achieve Etsy’s mission and goals. Chu-Cheng received PhD in computer science from UCLA. In his leisure time, he enjoys innovating and collaborating with academic researchers. He has brought cutting-edge research into products. He publishes papers in top-tier conferences and enjoys participating at a variety of academic or industrial conferences on information retrieval, recommendation systems, and data mining.

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Chu-Cheng manages the data org across Etsy globally, including engineering, data science, and machine learning. Partnering with Etsy’s product and business executives, he develops the data strategy, represents data science, and drives high-impact decisions. He is specialized in search engine technology, recommendation systems, and machine learning technology. His primary responsibility is to deliver strategic and creative data science approaches that help achieve Etsy’s mission and goals. Chu-Cheng received PhD in computer science from UCLA. In his leisure time, he enjoys innovating and collaborating with academic researchers. He has brought cutting-edge research into products. He publishes papers in top-tier conferences and enjoys participating at a variety of academic or industrial conferences on information retrieval, recommendation systems, and data mining.

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SUMMARY

Chu-Cheng Hsieh, Chief Data Officer at Etsy, discusses how enterprises should build a data management framework that helps them translates data into revenue-generating products. He explores best practices for each stage of the entire data lifecycle, from data capture to business insights, to enable positive AI-driven outcomes. Join this session to learn how you should be thinking about getting value from data, in your own organization.

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