What we saw in Graph Analytics in 2019

Rafael Hernández, Jose Antonio Rodriguez Serrano, Santiago Basaldúa, David Muelas and Daniel Sánchez

D&A Recap

As we announced in this post, the Graph Analytics Team at the AI Factory delivers graph data assets and creates an internal software library to facilitate the use of graph algorithms at BBVA. This article aims to summarize what we saw and the progress made in Graph Analytics during 2019. It can be considered as a collection of resources and …

The #10yearchallenge of Data Science

Jairo Mejía and Santiago Basaldúa

D&A Recap

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 …

The most important developments in data science of 2018

Jairo Mejía

D&A Recap

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 …

What We Saw (and Liked) in 2017 — Part 3

BBVA Data & Analytics Team

D&A Recap

A Wider Field of Machine Learning: From Network Analysis to New Interactions with Machines Human and machine interactions — by Iskra Velitchkova For a long time, science has been living in a comfortable bubble where complexity was the norm, but now society demands more transparency and make their processes more comprehensible, especially when it comes to the fast-growing advances in …

What We Saw (and Liked) in 2017 — Part 2

BBVA Data & Analytics Team

D&A Recap

The Use of Machine Learning to Enhance Trust Nowadays, the increasing digital footprint of our customers and our analytic capabilities provide us with a much deeper understanding and complex vision of the dynamics of big corporations, customers, and citizens. However, these technological opportunities also open risks that may drive mistrust in the long run. We must realize that technological innovations …

Visualization of non-linear spaces, by our Analytics Dissemination Team

What We Saw (and Liked) in 2017

BBVA Data & Analytics Team

D&A Recap

As an applied ML company that seeks to make some sense out of financial data, we at BBVA Data & Analytics enjoy sharing articles, blogs and news about Artificial Intelligence (AI) and Machine Learning (ML). Two years ago we created a G+ community to share the latest on Machine Learning technologies that we find interesting and stimulating. This experiment has …

Bye Bye 2016! Hello 2017!

Beatriz Alonso

D&A Recap

Our CEO Elena Alfaro has just closed the review of our yearly objectives with a round of applause. This successful 2016 is almost over. We leave this year with countless hours of hard work along with great moments, some of them quantified in the  #funfacts below. I take the opportunity, in the name of the whole BBVA Data & Analytics team, to wish you …