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Innovation

Innovation

A-0204-Labs-BBVA

In recent months, BBVA Next Technologies has devoted some effort into researching tools and techniques for interpreting machine learning models. These techniques are very useful to understand the predictions of a model (or make others understand them), to extract business insights from a model that has managed to capture the underlying patterns of customers interest, and to debug models in order to ensure they make the right decisions for the right reasons.

In this article we will explain how we have applied these techniques to avoid deploying flawed models into production that seemed totally correct a priori according to standard validation methods.

Thirty years ago this month the internet came online giving consumers the ability to educate themselves on various products and services long before they ever spoke to an expert. For financial services, it signaled a shift in how bankers worked with customers.

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NASA’s Space Apps Challenge, one of the world’s most popular hackathons, has, once again, awarded a group of Spaniards, in this case the time behind ‘Galaxy Quest.’ The project helps processing real data collected by the Hubble telescope through a ‘gamification’ process.  But not only that:  It is the first step in developing an artificial neural network using these data, and a new communications channel between NASA and users.  José Luis Martín-Oar, service designer at BBVA and one of the team’s members, tells us everything about the project.

Garanti Bank recently published its 2018 Integrated Annual Report with an important new feature. The report includes a “True Stories” theme this year: real stories about the experiences Garanti employees have had with customers across Turkey, in their own words. Garanti is the first and only bank in Turkey to publish an integrated annual report that includes information on the value the bank creates for customers.

A-2002-LABS-BBVA sidecar

The sidecar pattern shows itself as a very powerful tool in the new world of containers and can be found in several use cases. In this post we focus in analyzing some of the most interesting use cases from an IT security perspective.

The heart of the scrum work methodology is the sprint. The sprint is a miniproject nomore than one month (very short execution cycles – from one to four weeks), aimed atincreasing in value in the product we are building. All sprints have a definition andplanning that will help achieve the goals set.