Joan Llop

According to the results of the Academic Ranking of World Universities (ARWU) 2019, with 13 out of the world’s top 20 universities, the United States is, yet another year, the world’s academic powerhouse in computer science. Computer Science is a booming tech field. Demand for specialized talent, for example in artificial intelligence, has skyrocketed more than 400 percent since 2010.

One of the biggest challenges in advanced analytics is developing mechanisms to determine how reliable the decisions made by algorithms are. Now, research by BBVA’s Artificial Intelligence Factory is proposing a new method to make machine learning models capable of expressing the uncertainty in their predictions in a clearer manner. It’s an exploratory approach to make artificial intelligence more transparent, measure the reliability of its predictions and  fine tune the accuracy of its results.

Many organizations now process huge amounts of data using artificial intelligence. So it is crucial to find ways to prevent unfair biases. New research by BBVA and the Universidad de Barcelona (UB) tries to achieve this with a model that automatically sorts more than 600 superheroes as “good” or “evil” while disregarding traits like gender or race.

An exceptional user experience and value added features are the keys to differentiating a banking application from its competition. These are the elements that held the most sway when, for the second consecutive year, the consulting firm Forrester chose BBVA's app as the best banking app in the world and gave the Garanti BBVA app in Turkey the best in user experience.