IA Converge: The Intersection of Data Science, Market Research & Analytics December 10-11, 2019 in Los Angeles

In a recent article in the journal Marketing Science, researchers at MIT explained how convolutional neural networks-a type of supervised machine learning-can dramatically reduce the time and effort required to understand customer needs and identify "pearls" of insight that traditional research methods like focus groups and interviews might miss. Working with the researchers, AMS helped validate their approach against existing reference data and field test it on real studies for corporate researchers. The session will explain both the science and art behind the approach and provide evidence of its effectiveness through case examples in both B2C and B2C categories. It will also preview emerging ideas under study and development.