The document discusses how AI and machine learning are transforming media, highlighting examples from prominent companies like Netflix, Buzzfeed, and The New York Times. It emphasizes the collaboration between humans and machines, the importance of data-driven strategies, and innovative content recommendations. Key topics include the role of data science in enhancing creativity and operational efficiency in media organizations.

1. 뉴욕에서 만난 데이터 사이언스
AI와 ML은 미디어를 어떻게 혁신하고 있는가?
- 데이터야 놀자 2018 -
㈜빅레이더 / 장현석
• 고려대 통계학과 / 성균관대 EMBA 졸업
• YD온라인, 조이맥스, 위메이드 전략/분석 담당
• 컨텐츠 데이터마이너 ㈜빅레이더 창업자
• 2018년8월 제2회 상권분석 경진대회 최우수상

5. DATA SCIENCE AT SCALE FOR 21ST CENTURY MEDIA
Amy Yu – VP of Product Strategy & Data Science, Viacom
My search results are different from yours.
NETFLIX acquired THE HOUSE OF CARDS
based on the data of TORRENT
Audiences are micro granurarized.

7. https://tasty.co/
EDIT MEETS AI: MATCHING CONTENT WITH AUDIENCES
Gilad Lotan – VP, Head of Data Science, BuzzFeed
https://www.buzzfeed.com/

8. OUR NEW PUBLISHING PLATFORM WILL MAKE YOU A BETTER WRITER:
USING AI TO ASSIST THE NEWSROOM
Boris Yakubchik – Data Scientist and Engineer, Forbes
What makes an article successful?
1. Five Things You Must Not Do During Totally At The Solar Eclipse
2. Apple Is Losing Its Cool Factor, And That’s A Problem If It Wants
To Break Into TV
3. The Top-Earning Dead Celebrities Of 2017
4. The Business Schools Where Students Most Want To Go In 2017

9. “We believe that
there is great potential
in humans and machines
working together.”
Bertie,
Forbes’ New CMS
deploying the A.I.
OUR NEW PUBLISHING PLATFORM WILL MAKE YOU A BETTER WRITER:
USING AI TO ASSIST THE NEWSROOM
Boris Yakubchik – Data Scientist and Engineer, Forbes

10. DATA SCIENCE AT THE NEW YORK TIMES
Chris Wiggins – Chief Data Scientist, New York Times
Anna Coenen – Data Scientist, New York Times
“Every Newspaper is now a Startup”
Today’s Revenue is
as same as 1950s

11. DATA SCIENCE AT THE NEW YORK TIMES
Chris Wiggins – Chief Data Scientist, New York Times
Anna Coenen – Data Scientist, New York Times
“How a 167-year old content company
became data-driven?”

12. DATA SCIENCE AT THE NEW YORK TIMES
Chris Wiggins – Chief Data Scientist, New York Times
Anna Coenen – Data Scientist, New York Times
Core Members of NYTimes Data Science Team
1. PEOPLE New Mindset > new Toolset

13. A Contextual-Bandit Approach
to personalized News Article Recommendation
DATA SCIENCE AT THE NEW YORK TIMES
Chris Wiggins – Chief Data Scientist, New York Times
Anna Coenen – Data Scientist, New York Times
2. Ideas

14. 3. Things Training & Deployment With Google Cloud Platform
DATA SCIENCE AT THE NEW YORK TIMES
Chris Wiggins – Chief Data Scientist, New York Times
Anna Coenen – Data Scientist, New York Times

15. PUTTING SCIENCE TO WORK: TRACING MULTI-TASK LEARNING FROM RESEARCH
TO APPLICATIONS Friederike Schuur – Sr Data Scientist and Researcher, Fast Forward Labs

16. Newsie,
Classifier for the news articles
into categories
https://blog.fastforwardlabs.com/
2018/07/24/ff08-launch.html
PUTTING SCIENCE TO WORK: TRACING MULTI-TASK LEARNING FROM RESEARCH
TO APPLICATIONS Friederike Schuur – Sr Data Scientist and Researcher, Fast Forward Labs

17. TIME SERIES FORECASTING USING FACEBOOK’S PROPHET MODEL
Sophia Tee – Principal Data Scientist, Verizon
Prophet

18. TIME SERIES FORECASTING USING FACEBOOK’S PROPHET MODEL
Sophia Tee – Principal Data Scientist, Verizon
https://facebook.github.io/prophet/docs

19. [Drew Conway, 2010][Christopher Whitely, 2018, DSS:NYC]
DATA SCIENCE IS EVERYWHERE !
#1

20. THE MEDIUM IS THE MESSAGE!
NOT ONLY BY THE CONTENTS,
BUT ALSO BY THE ALGORITHMS
#2
Recommender
Contents
Management
System
Audience
Segmentation

21. PUT SCIENCE TO WORK!
#3
https://tasty.co/
https://www.buzzfeed.com/

27. http://www.bigradar.net
We’re Highering!