Data Tech

Unsupervised learning is still very relevant in the new world of advanced AI and it is especially helpful when the right answer is unclear, complex or multi-dimensional. In this session we will introduce a methodology of Hyper-Segmentation which is an automated clustering approach that aims to create the most meaningful groups across a vast feature space. It can be applied to many industries and problems to deliver novel insights to data owners. We will review examples including targeted marketing for ecommerce customers, predictive asset failure understanding for utilities, and sales support for healthcare payers.