Applying AI & Machine Learning To Media, Advertising & Entertainment
MAY 4-5
Sponsored by
The data science salon is a unique vertical focused conference which grew into a diverse community of senior data science, machine learning and other technical specialists. We gather face-to-face and virtually to educate each other, illuminate best practices and innovate new solutions in a casual atmosphere.
Speakers
Kenny Wei-Chih Chen
Data Scientist at TikTok
Katerina Iliakopoulou
Lead Software Engineer at The New York Times
Hasham Ul Haq
Data Scientist at John Snow Labs
Jay Kachhadia
Data Scientist at ViacomCBS
Matt Smith
VP, Business Development at Symphony MediaAI
Mukul Krishna
Global Practice Head - Digital Media at Frost & Sullivan
Mario A. Vinasco
Director BI and Analytics at Credit Sesame
Frank Sepulveda
Data Technologist, Scientist & Architect at DataStax
Christopher Whitely
Senior Director, Applied Analytics at Comcast/FreeWheel
Harris Liu
Manager, Data Science & Analytics at Disney Streaming Services
Bonnie Magnuson-Skeels
Principal Data Scientist at Samba TV
Robb Horton
Senior Sales Engineer at TigerGraph
Yi Kang
Director of Data Science at Gannett, USA TODAY NETWORK
Ali Rossi
Data Scientist at Foursquare
Appu Shaji
CEO and Chief Scientist at Mobius Labs
Wayne Cheng
Founder & Machine Learning Engineer at Audoir
Vishal Juneja
Lead Data Scientist at Condé Nast
Afton Coombs
Data Scientist at HULU
Wenbin Wu
Data Scientist at HULU
About
Data Science Salon unites the brightest leaders in the media, advertising, and entertainment across the nation in data science fields. We gather face-to-face and virtually to educate each other, illuminate best practices, and innovate new solutions. Data Science Salon | Media, Advertising & Entertainment is the only industry conference that brings together specialists in the media and entertainment data science field to educate each other, illuminate best practices, and innovate new solutions in a casual atmosphere. Get the most current state of current industry trends and innovations in media, advertising, entertainment through DSS podcasts, exclusive content, Webinars and live Trainings. DSS also has an extensive on-demand video library of presentations from the top industry experts.
A SAMPLE OF TOPICS COVERED
Enhancing the Viewer Experience with Machine Learning & AI
Content Personalization and Monetization
Personalization at Scale with AI
Cloud Automation and Machine Learning
Audience Targeting and Segmentation (across platforms)
Data and AI for emerging platforms
Data Governance
and More!
Schedule
(All times are US Eastern Time)
Tuesday, May 4
11:30 am – 12:30 pm – DSS Podcast – Charting a Course: From Physics PHD to Professional Data Scientist
12:30 pm – 12:40 pm – Introduction & Housekeeping
1:10 pm – 1:25 pm – 15 minute break
1:25 pm – 1:55 pm – Empowering Organization Through Analytical Insights
Katerina Iliakopoulou – Lead Software Engineer at The New York Times
2:00 pm – 2:20 pm – Understanding the meaning, intent, and context of text using Spark NLP
Hasham Ul Haq – Data Scientist at John Snow Labs
2:20 pm – 2:30 pm – 10 minute break
2:30 pm – 3:00 pm – Full Stack Data Science: The Next Gen of Data Scientists Cohort
3:00 pm – 3:15 pm – 15 minute break
3:15 pm – 3:45 pm – Analyzing Big Data at Scale with AI
Matt Smith – VP, Business Development at Symphony MediaAI
Mukul Krishna – Global Practice Head – Digital Media at Frost & Sullivan
3:50 pm – 4:20 pm – The Intuition behind Machine Learning in Marketing
Mario A. Vinasco – Director BI and Analytics at Credit Sesame
4:25 pm – 4:55 pm – The Ongoing Evolution of “Fast Data” Architectures
Frank Sepulveda, PHD – Data Technologist, Scientist & Architect at DataStax
5:00 pm – 5:30 pm – Innovating Using Data Science in Media and Entertainment
Christopher Whitely – Senior Director, Applied Analytics at Comcast/FreeWheel
5:30 pm – 5:35 pm – Wrap up
Wednesday, May 5
12:15 pm – 12:30 pm – Introduction & Housekeeping
12:40 pm – 1:10 pm – Beyond A/B Testing: Reimaging scalable causal inference framework at Disney
Harris Liu – Manager, Data Science & Analytics at Disney Streaming Services
1:10 pm – 1:25 pm – 15 minute break
1:25 pm – 1:55 pm – Predicting Future Viewership: Building Predictions of Upcoming Household-level Television Behaviors
Bonnie Magnuson-Skeels – Principal Data Scientist at Samba TV
2:00 pm – 2:20 pm – Entity Resolution using Tigergraph at Xandr and HBO
Robb Horton – Senior Sales Engineer at TigerGraph
2:20 pm – 2:30 pm – 10 minute break
Connie Kang – Director of Data Science at Gannett at USA TODAY NETWORK
3:05 pm – 3:35 pm – Navigating Through the New Age Challenges of Passively-Collected Datasets
3:35 pm – 3:50 pm – 15 minute break
3:50 pm – 4:10 pm – Making Visual AI Ready for Mass Deployment
4:15 pm – 4:45 pm – Generative AI for Songwriting and Music Production
4:40 pm – 5:00 pm – Leveraging data to acquire new subscribers
5:05 pm – 5:35 pm – Marketing Mix Model: A Hierarchical Bayesian Approach at Hulu
5:35 pm – 5:40 pm – Wrap up
Sponsored session
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