(Talk 1) Title: AI is here: Turning Advanced Analytics into Business Advantage – Speaker: Chi-Yi Kuan
Abstract: Data is driving business transformation. Advanced technologies are reshaping the business with new discoveries, better customer experiences, and improved products and services – enabled by AI. Chi-Yi Kuan shares examples of how LinkedIn unleashed intelligent & scalable insights to make better decisions, and explores best practices for incorporating data, advanced analytics and talent into your organization.
(Talk 2) Title: How to Leverage Big Data Analytics to Grow Business – Speaker: Tiger Zhang
Abstract: Tiger will illustrate the big data analytics lifecycle and share our practices leveraging advanced big data analytics and machine learning techniques to grow business at LinkedIn. You’ll learn how to empower business partners to access insights whenever needed, how to optimize business performance by leveraging unique data, and how to innovate for sustainable business growth.
(Talk 3) Title: Revolution in Fraud Risk management driven by advancing analytics and technology – Speaker: TJ Jiao
Abstract: Companies in many industries such as Financial/ Banking/ ecommerce & payment are facing unprecedented challenges from fraud risk and under constant pressure to innovate and keep up with a continuously moving target of threats to the bottom line of the business. This talk will cover: 1. common functions and structure of risk management in technology companies; 2. evolution of concept, tools and techniques in fraud risk management; 3. importance of measurement/ test iterations and 4. some emerging techniques and their applications at Uber Risk
(Panel discussion) Title: Behind "Big Data" and "AI": Elements of Modern Data Science.
Panelist: Chi-Yi Kuan, Tiger Zhang, Airong Cai
Chi-Yi Kuan is a seasoned big data analytics leader with more than 15 years of industry experience in applying the-state-of-the-art big data analytics and solutions, data science, global risk management, and sales & marketing effectiveness at both Fortune 500 firms and startups. He combines deep expertise in analytics and data science with business acumen and dynamic technology leadership. Currently, Chi-Yi is director of analytics and data mining at LinkedIn. Previously, he worked at eBay and DemandTec (an IBM Company). He holds dual M.S. in Statistics and Engineering-Economic Systems & Operations Research from Stanford University.
Yongzheng Zhang is a Senior Manager of Data Mining at LinkedIn and an active researcher and practitioner of text mining and machine learning. He has developed many practical and scalable solutions for utilizing unstructured data for ecommerce and social-networking applications, including search, merchandising, social commerce, and customer-service excellence. Yongzheng is a highly regarded expert in text mining and has published many papers in top journals and conferences. He is also actively organizing tutorials and workshops on sentiment analysis at prestigious conferences. He holds a PhD in computer science from Dalhousie University in Canada.
TJ Jiao has 15 years of extensive and successful experience in fraud and credit risk management, customer insight analytics, business & product strategy development and decision intelligence in e-Commerce / Payment / Financial / Technology industries. He is currently heading the Data & Insights function at Uber Risk Management delivering data driven risk strategies to maximize legitimate revenue and sustainable growth. Previously he was Sr. Director at Lending Club where he led the Fraud Risk, Decision Infrastructure, Alternative lending research and Strategies Optimizations. Before that he held various management roles in Trust & Safety/Fraud science/Marketplace Analytics at eBay and PayPal.
Airong Cai is a Staff Data Scientist at LinkedIn and practitioner of predictive modeling with more than 10+ years of working experience across many industries. Before joining LinkedIn, Airong was a data scientist at Coursera, Coupang, DemandTec (an IBM company). She holds a PhD in business statistics from University of Illinois at Chicago.
Data Science Meetup 台灣資料科學社群第一次的台灣版聚即將在6/19晚上啟動，這次我們邀請了四位在灣區上班的數據分析或資料科學專家與大家分享他們工作上的實務與心得。歡迎大家共襄盛舉。