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Machines, Models, and Causality: Does Anything We Do Even Matter?

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AdRoll

2300 Harrison Street

San Francisco, CA 94110

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Growing competition in the ad industry and a focus on chasing the last click has introduced broad concerns about the effectiveness of ads to drive meaningful business outcomes. Possible solutions challenge traditional optimization methods such as click- and conversion optimization.

Learn from industry thought-leader Randall Lewis and AdRoll's Product and Engineering leaders to see how we’re tackling the problem of measuring, and optimizing towards, the causal impact of ads.

Speaker Bio: Randall Lewis is an Economic Research Scientist at Netflix responsible for finely measuring the effectiveness of advertising. As an applied econometrician, he uses causal statistics to extract valuable insights from large data sets. In today’s digital economy, this requires inventing new types of measurement systems and cleverly adapting econometric algorithms to efficiently perform advanced analyses at scale (causal machine learning). He works with a range of econometric models from social networks to large-scale field experiments.

Agenda:
6:00pm Meet and greet (Food & refreshments provided)
6:30pm Introduction
6:45pm Tech Talk with Randall Lewis & AdRoll's Engineering Team
8:00pm Q and A

Check in begins at 6pm and the talk will begin at 6:30pm. To join you must have RSVP'd. We look forward to meeting you!

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AdRoll

2300 Harrison Street

San Francisco, CA 94110

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