Presented By
O’Reilly + Cloudera
Make Data Work
March 25-28, 2019
San Francisco, CA

Using the full spectrum of data science to drive business decisions

Chi-Yi Kuan (LinkedIn), Tiger Zhang (LinkedIn), Xiaojing Dong (LinkedIn), Burcu Baran (LinkedIn), Emily Huang (LinkedIn)
1:30pm5:00pm Tuesday, March 26, 2019
Secondary topics:  AI and machine learning in the enterprise
Average rating: ****.
(4.43, 14 ratings)

Who is this presentation for?

  • Business leaders, junior and senior data scientists, and anyone interested in making intelligent business decisions

Level

Intermediate

Prerequisite knowledge

  • Familiarity with the opportunities and challenges brought forward by the availability of large amounts of data

What you'll learn

  • Learn how to leverage advanced data science techniques to drive business decisions and impact your business

Description

Thanks to the rapid growth in data resources, business leaders now appreciate the importance (and the challenge) of mining information from data. Join in as a group of LinkedIn’s data scientists share their experiences successfully leveraging emerging techniques to assist in intelligent decision making. You’ll gain an overview of the challenges in leveraging data resources to drive business decisions, explore the lifecycle and closed-loop solutions to data-driven decisions, and discover cutting-edge techniques and solutions for the most critical business decisions.

Topics include:

  • An introduction to data analytics and data science at LinkedIn
  • Challenges and advances in data-driven decision making
  • Using machine learning to scale up and optimize the end-to-end sales intelligence lifecycle
  • Natural language processing and its applications in product operations
  • How to assist marketing decision making with big data techniques
Photo of Chi-Yi Kuan

Chi-Yi Kuan

LinkedIn

Chi-Yi Kuan is director of data science at LinkedIn. He has over 15 years of extensive experience applying big data analytics, business intelligence, risk and fraud management, data science, and marketing mix modeling across various business domains (social network, ecommerce, SaaS, and consulting) at both Fortune 500 firms and startups. Chi-Yi is dedicated to helping organizations become more data driven and profitable. He combines deep expertise in analytics and data science with business acumen and dynamic technology leadership.

Photo of Tiger Zhang

Tiger Zhang

LinkedIn

Yongzheng Zhang is a senior manager of data mining at LinkedIn and an active researcher and practitioner of text mining and machine learning. He’s 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 and presented many papers in top journals and at conferences. He also organizes tutorials and workshops on sentiment analysis at prestigious conferences. He holds a PhD in computer science from Dalhousie University in Canada.

Photo of Xiaojing Dong

Xiaojing Dong

LinkedIn

Xiaojing Dong is head of marketing science and a staff data scientist on the data science team at LinkedIn. She’s also an associate professor of marketing and business analytics at Santa Clara University, where she led the effort in designing and starting a popular Master of Science program in business analytics and served as the founding director. She helps translate business and marketing problems into data questions and apply analytical techniques into solving such problems to assist business decisions.

Photo of Burcu Baran

Burcu Baran

LinkedIn

Burcu Baran is a senior data scientist at LinkedIn. Burcu is passionate about bringing mathematical solutions to business problems using machine learning techniques. Previously, she worked on predicting modeling at a B2B business intelligence company and was a postdoc in the Mathematics Departments at both Stanford and the University of Michigan. Burcu holds a PhD in number theory.

Photo of Emily Huang

Emily Huang

LinkedIn

Emily Huang is senior manager of the data science team at LinkedIn. Emily has more than 10 years of experience in security data science, customer operation analytics, and data product development across industries including finance, ecommerce, social networks, and SaaS. She’s passionate about translating business problems into qualitative questions, solving them by synthesizing and mining large-scale data, and driving business decisions. She’s also enthusiastic about developing the data science community via mentoring, volunteering, and being an evangelist of data-informed culture for all organizations.

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Comments

Divya Mani | BI ANALYST
04/02/2019 2:54am PDT

Is it possible to share the presentation slides? Thanks!

Jingxiao Feng | SECTION CHIEF
03/29/2019 1:47am PDT

This a great session. Could the presentation be made available?