AdMiner

설립: March 7, 2016

Measuring TV Ad Effectiveness AI for Audience Engagement

Tools to measure and improve effectiveness of cross-channel advertising , by enabling advertisers to better coordinate their marketing efforts across TV, digital and search.  Predictive models of consumer behavior based on cross-company data capturing user habits from search (Bing/Cortana), browsing (Edge), TV viewing  (Xbox), and purchasing (Universal Store).

 

Slides

Videos

How Data Mining Can Help Advertisers Hit Their Targets

TV and Distraction

 

Demo

Prototype

Webinar

Feel free to request a demo

 

Media

 

인원

Core Team

Keith Battocchi의 초상화

Keith Battocchi

Senior Research Software Development Engineer

Kevin Gao의 초상화

Kevin Gao

Senior Research Software Development

Affiliates

David Rothschild의 초상화

David Rothschild

Economist

Chinmay Singh의 초상화

Chinmay Singh

Principal Research Software Development Engineer

Sharon Gillett의 초상화

Sharon Gillett

Technical Advisor and Sr. Principal Research Program Manager

Victor Heymeyer의 초상화

Victor Heymeyer

Principal Research Director

Microsoft

Gordon Burtch의 초상화

Gordon Burtch

Assistant Professor

University of Minnesota

Michael Barto의 초상화

Michael Barto

Senior Data Scientist

Microsoft

Andrey Siminov의 초상화

Andrey Siminov

Assistant Professor

Columbia Business School

Kelly Buckley의 초상화

Kelly Buckley

Research Assistant