Events
GEM Analytics Industry Expert Series: David Landy
Event Start Date: Thursday, March 17, 2022 - 12:00 pm
Event End Date: Thursday, March 17, 2022 - 1:00 pm
Location: Virtual
Data and its Application in a Streaming Media Company
Speaker: David Landy, Content Data Scientist at Netflix
David Landy
David Landy will discuss how data is used at a streaming media company (in David’s case, Netflix) to shape the future of content. David will present a broad overview of how streaming data is distinct from other high-data businesses (such as gaming). The primary focus of this talk will be on the interplay between understanding user behavior with models, the challenges of translating those models into actionable insights for non-technical stakeholders, and the ethical questions around working with large, private data sets about individual taste preferences, with several examples drawn from practical issues in applying data to understanding the impact of series and films on members. David will also highlight roles that different perspectives (such as economics or psychology, or varied life experiences) can play in improving data science.
David Landy received their Ph.D. in Cognitive Science and Computer Science in 2007 and was a professor of Psychology for 10 years at the University of Richmond and Indiana University. David specialized in human ways that problem-solving in mathematics leveraged visual and spatial systems. in 2018, David moved to industry and took a position as a Senior Data Scientist at Netflix, focusing on product innovation experimentation. In 2020, they moved to content data scientist, and currently focusing on interpretable psychological models of member taste.
The GEM Analytics speaker series invites practitioners and experts from the entertainment industries to share their experiences, ideas, and best practices in information use and analysis. These guests will demonstrate how their organizations use data analytics to solve interesting challenges associated with customer/player user research, operational and business metrics, application/game design, ethical data use, data privacy protection, as well as other opportunities.
VirtualData and its Application in a Streaming Media Company
Speaker: David Landy, Content Data Scientist at Netflix
David Landy
David Landy will discuss how data is used at a streaming media company (in David’s case, Netflix) to shape the future of content. David will present a broad overview of how streaming data is distinct from other high-data businesses (such as gaming). The primary focus of this talk will be on the interplay between understanding user behavior with models, the challenges of translating those models into actionable insights for non-technical stakeholders, and the ethical questions around working with large, private data sets about individual taste preferences, with several examples drawn from practical issues in applying data to understanding the impact of series and films on members. David will also highlight roles that different perspectives (such as economics or psychology, or varied life experiences) can play in improving data science.
David Landy received their Ph.D. in Cognitive Science and Computer Science in 2007 and was a professor of Psychology for 10 years at the University of Richmond and Indiana University. David specialized in human ways that problem-solving in mathematics leveraged visual and spatial systems. in 2018, David moved to industry and took a position as a Senior Data Scientist at Netflix, focusing on product innovation experimentation. In 2020, they moved to content data scientist, and currently focusing on interpretable psychological models of member taste.
The GEM Analytics speaker series invites practitioners and experts from the entertainment industries to share their experiences, ideas, and best practices in information use and analysis. These guests will demonstrate how their organizations use data analytics to solve interesting challenges associated with customer/player user research, operational and business metrics, application/game design, ethical data use, data privacy protection, as well as other opportunities.