How the NY Times uses Machine Learning to create, curate, and optimize social media campaigns with Colin Russel, Exec.Dir. Data Science
Featured Speaker: Colin Russel, Executive Director of Data Science at the New York Times!
For large organizations such as the New York Times, creating and running various social media campaigns for offsite marketing can be an arduous task requiring large amounts of manual effort. This type of conversion-based marketing also often requires invasive pixels or sharing data with external companies which can lead to data privacy issues. In this presentation, Colin will share how The New York Times applied Machine Learning to their own data to create a platform that can automatically create, curate, and continuously optimize our paid media campaigns and social media posts. Colin will share some of the challenges they faced when creating this platform, best practices, and lessons learned.
- 11:30-12:30pm: Featured Presentation
- 12:30-13:00pm: Your Q&A and interaction
About Data for AI:
The Data for AI Community is geared toward innovative companies pushing the boundaries of what’s possible with Artificial Intelligence and cognitive technologies. This community is focused on the data side of AI including: Data Engineering, Data Preparation, Data Labeling & Annotation, Sourcing and Generating Data, and All Other Topics Data-Related for AI. Join us at this monthly event for high-quality content with compelling & informative speakers and opportunities to network and connect with fellow like-minded individuals.
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