Below you'll find a list of all posts that have been categorized as “d&a blog”
One of our first and most successful applications of machine learning to a retail financial tool included in the BBVA app is that which allows customers to know a forecast of recurring expenses and incomes for next month. Knowing what day you will receive the car insurance charge or a recurring transfer -and its amount- is key to manage your …
Default propagation cannot be understood by simply looking at supplier-customer relations as a set of static nodes and edges. The politics of these relations and the information on the current environment play an important role in how a crisis will spread in the economic system. A group of data scientists at BBVA has analyzed that matter in a paper that …
There are many possible answers to the question “What does a Data Scientist Do?”. But a short one that we especially like is: “Use data to help reduce inefficiencies in products, services or processes”. So we see retail companies employing Data Scientists to try to make shipments more efficient, while in banking we use it to predict the next likely …
On April 10 we had the opportunity to learn about “The Atlas of Inequality“ project, which has been developed by the Human Dynamics group of the MIT Media Lab in collaboration with the Mathematics Department from the Universidad Carlos III, based in Madrid (UC3M). One of the main researchers of this project is Esteban Moro, associate lecturer at UC3M and …
As data scientists we love participating in various initiatives outside the scope of our daily jobs. This gives us the chance to learn new things that are not directly related to our field of expertise and take a fresh look into complex analytical problems. At the same time, these kinds of experiences allow us to collaborate with colleagues who normally …
To celebrate International Women’s Day, we organized and participated in debates regarding the importance of adding more diversity to technology and Data Science teams, as well addressing challenges for women in the labor market. We invited the co-founder of Mujeres Tech, Cristina Aranda, to talk about the challenges facing women in science and technology. One of the recurrent issues in …
We get it! You love gatherings where the best data science and advanced analytic knowledge is shared. The research papers, the workshops, the posters, the keynote speakers, and the applied use cases are a great way of getting fresh perspectives and ideas. We also know that you love the chance to enjoy the best cities where these events are organized. …
Ten years ago the term “Data Science” was only 7% of what it is today in Google Trends. It was almost non-existent in the news, and only timidly gaining ground in the corporate narrative. One has to go back to 2010 to see a first comprehensive definition of the nascent discipline of data science in the media. The Economist ran …
As a Data Scientist, you are expected to be able to build all sort of data products, that may involve simple-yet highly valuable business trends extracted through data querying and cleansing; and sometimes, more sophisticated Machine Learning algorithms for prediction, classification, or even recommendation. However, the cold start in a specific topic may be tough for Data Scientists, especially for …
The year 2018 has been one of the most important years in terms of breakthroughs in Machine Learning technologies. It has also been important vis à vis the debate on how to move forward beyond pure optimization, into a more advanced discipline of Data Science and real applied Artificial Intelligence. Ranging from a realization of the challenges of the industrialization …
