DataScience@UB designs and prototype a machine that includes an intelligent vision system based on semantic segmentation through convolutional neural networks to automate the classification of skins and leather.
Predictive Model of user behavior
The problem to resolve from the point of view of business, is to generate leads of value, from calls, mails, ads on the web, etc. that take into account the status of each user in his customer journey. The objective is to determine the state in which the user is in the buying process to provide valuable offers and to better meet their needs.
We have defined an analytical model that takes into account the temporal events that represent the client’s interactions with the company, so that it can be determined in each possible time period what is the most appropriate marketing action and what is the probability of success of each action. This information must allow in the first instance to make an informed decision for the data to those responsible for initiating the actions.
We have won a new competition with the Cartographic and Geological Institute of Catalonia, to apply deep learning techniques in the detection of changes in the network of infrastructures and constructions in the territory with the aim of automating the process of elaboration of the Topographic map of Catalonia.
Joint development with Vall Hebron Hospital of a scalable medical diagnosis solution based on artificial intelligence tools for CorporateHealth International ApS.