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    The Hitchhiker’s Guide to Your Users. Personalization Through Causal ML

    Duration
    30min
    Technologies
    AI
    Description
    Did you ask yourself why some products have more conversion? Or why do some users select only a kind of product? In this talk, some of these questions are going to be treated and explained using causal inference. It will explain how to estimate the causal impact of intervention T on outcome Y for users with observed features X, without strong assumptions on the model form. Causal ML can be used to find the group of people that have a favorable response for a given metric such as engagement or sales. This is an example of campaign targeting optimization, but also it can be used to personalize the engagement with our clients. You can use it to estimate the effect for each customer for an optimal personalized recommendation system.
    Speaker
    Eduardo Matallanas

    Principal Software Engineer at Plain Concepts

    Excited about new technologies, robotics, and Artificial Intelligence. I am so passionate about it that I did a PhD at Technical University of Madrid in these subjects. So, I have been working in this field for more than a decade in both academia and business fields.  I have also been in a product company such as Cabify where I have been in charge of projects to create an impact in the marketplace, through automation of tasks, creation of different models for the monitoring and improvement of its users, as well as their implementation production.