Latent Panelists Affinities: a Social Science case study

As part of the IBM PartyCloud happened in Milan on 20th September 2018, I gave a talk “A Journey into Data Science & AI” presenting a case study about estimating Panelists Latent Affinities. I showed the components to develop an intelligent social agent able to classify entities and estimate latent affinities. The session also covered good practices and common challenges faced by R&D organizations dealing with Machine Learning products.

If you would like to discuss about how AI technologies can be applied to social science, get in touch!