Data Science Salon New York 2020
Get access to powerful decision makers in data science in an intimate setting at Data Science Salon NY, the only vertically-focused industry conference series around applications AI and Machine Learning in Media, Entertainment and Advertising. Learn from practitioners, technical experts and executives how to solve real-world problems by harnessing disruptions in data, artificial intelligence, machine learning, and cutting-edge technologies. At DSS NY, we connect you with our powerful community face-to-face and digitally – each ticket comes with one year of access to DSS Insider, the content repository for all Data Science Salons.
Data Science Salons are one- or two- day events hosted at Blue Chip companies. Over 50% of our 200-500 attendees at each conference are data decision makers (Sr. Data Scientists and above). And we are the only data science conference with a gender balance in our speaking roster.
A sample 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!
Upcoming AI & ML Events Newsletter
Monthly to your email. No spam. Trusted by 5000+ AI & ML experts.
Product Management at CNN
Sr. Manager, Data Science at Roku Inc
Chief Data Officer at Hearst Magazines
Sr Director of Retention Analytics at Disney Streaming Services
VP Engineering at Annalect Labs
Head of Data Science at GridDynamics
Associate Director, Data Analytics & Research at Code and Theory
VP of Operations, Machine Learning & AI Strategy at The Wall Street Journal
Head of Data Science at VOX Media
Product Director at Associated Press
Ryan C. McCabe
Senior Data Scientist at Spotify
Lead Data Scientist at The New York Times
Managing Director at NYC Media Lab
Lead Data Scientist at Forbes
President of Helia & Chief Data Officer at Havas
Product Manager, Data at Audible, Inc
R&D Editor at The Wall Street Journal