Thanks to the emerging technologies of e-Learning, the analysis of data offers professionals in the education sector, advantages with the ability to impact and revolutionize in the future the way we analyze and evaluate the learning experience.
Within the framework of the Cartographic Plan of Catalonia, the Cartographic and Geological Institute of Catalonia is working on the elaboration of the technical specifications of the land covers Map of Catalonia. The ICGC has commissioned us a study to explore the viability of the application of deep learning techniques in the generation of maps.
A company in the online sector has generated a large volume of data that provides a history to be able to extract information from clients and develop a predictive model based on the behavior of users. This behavior include the navigation through the platform, the interaction with others channels, messages to the community, etc. The ultimate goal is to provide a better customer service by recommending products based on the specific time of the customer journey.
Image search engines receive huge volumes of images every day, but very few of these have any impact on the internet. Of course, the aesthetics and technique of images are key to ensuring they have an impact on the internet and are not overlooked.
People who manage services aimed at the general public have the option of designing a demand-driven pricing policy, but this design is usually based on the personal experience of each manager.
Development of a system for diagnosing intestinal motility disorders based on images taken by a wireless endoscope camera that describes a range of visual patterns, both static and dynamic, from which an objective diagnosis can be made.
The click-through rate (CTR) is a ratio that represents how often people click on a specific digital resource, such as a blog entry, ad or hotel promotion. Accurately estimating CTR is critical for determining the price we are willing to pay for ads or deciding on the user segment we want to target. We therefore designed a real-time CTR prediction algorithm for an online travel company based on the analysis of millions of high-dimensional data items representing its customers’ behaviour.