The Data Science Salon is a destination conference which brings together specialists face-to-face to educate each other, illuminate best practices, and innovate new solutions in a casual atmosphere with food, drinks, and entertainment.
Data Science Salon unites the brightest leaders in the media and entertainment in Los Angeles data science fields. We gather to educate each other, illuminate best practices, and innovate new solutions.
Data Science Salon LA is the only industry conference that brings together specialists in media and entertainment data science field to educate each other, illuminate best practices, and innovate new solutions in a casual atmosphere. 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.
Meet our speakers
Lori H. Schwartz
Data IS the Solution: How Immersive Smart Ads and Artificial Intelligence (AI) Help Entertainment Brands WIN!
Sam Vidal – CTO, Advrtas
How I learned to Stop Worrying & Fell in Love with Big Data by Using the Beta Distribution
James Oliphant – Director of Data Science, Simpli.fi
AI in the New Era of Movie going
Natasha Ericta – Vice President, Research and Data Science, National Research Group
The Beauty and Elegance of Collaborative Filtering and Its Surprising Utility in Producing Useful Streaming Video Recommendations
Scott Edwards – Director of Data Science, NBCUniversal
Automated Machine Learning – Using AI to build better AI
Jasmeet Bhatia – Machine Learning Specialist, Google
Data Science and Entertainment Production
Jen Walraven – Manager, Science & Analytics, Netflix
Building a true Enterprise Data Governance platform for the modern Machine Learning Era
Subash D’Souza – Director of Big Data & Ops, Data Intelligence, Warner Bros.
PANEL – APPLYING AI AND MACHINE LEARNING TO MEDIA AND ENTERTAINMENT
Isolating the Effects of Artist Activation on Audience Growth
João Fiadeiro – Product Manager, YouTube
Workshop | Understanding Chatbots and Building Chatbot using Rasa Tech Stack
Anuj Saini – Solutions Architect, Sapient
Anomaly Detection at BuzzFeed
Garima Garg – Data Scientist, Buzzfeed
Bridging Data Science and Data Engineering: Lessons Learned While Building a Content-Based Recommendation Engine for Red Bull TV
Jason Brancazio – Senior Software Engineer, Red Bull Media House
Analytical Approaches to Understanding Customer Retention at Hulu
Jeffrey Rosenberg – Director of Data and Analytics, Hulu
Don’t reinvent the wheel: Some statistics methods every data scientist should know, with examples from Seriously
Robert Parviainen – Head of Data Science, Seriously Digital Entertainment
Comparing Scalability of Deep Learning Frameworks—A Benchmark Study
Piero Cinquegrana – Director of Data Science PM, Qubole
Building Partnerships to Unleash Data for Good
Jeanne Holm – Senior Technology Advisor to the Mayor & CIO, City of LA