Below you'll find a list of all posts that have been categorized as “d&a blog”
The Data Scientist profile is one of the most demanded profiles in the labor market. At the same time, the Data Science toolset is becoming more diverse and the skills demanded are broader. Luckily, for those trying to take the first steps into Data Science or mastering techniques, there are many excellent online courses. After publishing a list of recommended …
In this post, I would like to revisit the focus of my work during the last two summers in which I have worked as an intern at BBVA Data & Analytics. This is a technical summary of the teachings and insights obtained when working with word embeddings for categorization of short sentences for financial transactions. Text classification is at the …
BBVA Data & Analytics have just published a white paper in partnership with Google Cloud that showcases an end-to-end solution to deploy to production a Deep Learning model for time series forecasting. The model incorporates uncertainty of the predictions, which, we believe will have a powerful impact on improving the customer experience of products such as BBVA’s expected expense tracker …
In one of the largest cities on the planet, a lot of things happen every day. Mexico City is one of the largest megalopolis in the world, and where adequate sensorization could make it an ideal laboratory for the use of data for the good of its citizens. Furthermore, the city could encourage public participation in data-driven initiatives. One such …
Hive is a very powerful data warehouse framework based on Apache Hadoop. The two together provide stable storing and processing capabilities for big data analysis. In this article, we will analyze how to monitor metrics, tune and optimize the workflow in this environment with Dr. Elephant. Hive is designed to enable easy data summarization, ad-hoc queries, and big data analysis. …
The world runs on data, but without the dynamic, accessible and adaptable nature of OSS (Open Source Software) the pace of exploitation of data-rich fields would be painfully slow. Imagine a world of Data Science without Linux, Python, Anaconda or Tensorflow, just to cite some relevant examples of Open Source Software. In the last years, the trend of using OSS …
At BBVA we have been working for some time to leverage transactional data of our clients and Deep Learning modes to offer a personalized and meaningful digital banking experience. Our ability to foresee recurrent income and expenses in an account is unique in the sector. This kind of forecasting helps customers plan budgets, act upon a financial event, or avoid overdrafts. All …
Until not long ago many people would still show up at a bank branch with a paycheck from their employer, collect the money and leave with a fresh stack of bills, never to be seen between the columns of the gargantuan building until the next payday. They did not see the use case for a bank account, since the mattress …
The consideration of fairness in the development of machine learning-based solutions is gaining traction as a key aspect of artificial intelligence and modelling of social behaviours. This week the Harvard Business Review published a story authored by the leading forces behind a health analytics project that is using Deep Learning to detect people who are at risk of cardiovascular disease. The …
What are the technologies that will shape the future of the European Union? Who are the players involved in the creation of these upcoming innovations? In an attempt to answer these questions, we have analyzed several open data sources from the European Commission to identify the strategic priorities for the future beyond 2020. Leading the race are Nuclear fusion, graphene, supercomputing, autonomous …
