AI for the People

Artificial Intelligence has provided great benefit and has the potential to do even more. Many AI models use transactions and other data sources to make their predictions and recommendations. However, these models can be missing an important source of valuable data. That source is the human subject matter expert. In this presentation, we’ll explore ways that human experts’ opinions can be used to inform AI models to make even better results. We will highlight frameworks to achieve this and also highlight examples of this in action.

About the Speaker: Yan Xu is a scientist at PROS working on segmentation and pricing guidance, natural user interface and recommendation systems. Her research interests include machine learning applications and innovations to drive business values. She holds a PhD in machine learning from University of Houston with research focus in unsupervised learning and computer vision. She is also the founder of the Houston machine learning meetup consisting of over 1000 members and serves on the industrial advisory board for the ECE department at University of Houston.

Presentation Slides:

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