Last week BBVA announced that AI-based personal money manager startup Change had won its Open Talent Global award for best fintech idea. Change, an Israeli outfit that works in the U.S. and Canada, uses artificial intelligence to help customers keep track of their money, giving them a nudge via an SMS when they are overspending.

BBVA’s Group Executive Chairman said that developing the best banking application in the world (according to Forrester) has been a work that “has taken many years.” To get to this point, Francisco González underscored that “the most important thing was when we adopted ‘agile’ work methodologies that allow us to deliver upgrades every three months.” The application helps customers make better financial decisions and manage their financial lives better. Ultimately, he stated, we “want to be the best adviser of our customers.”

The financial sector has undergone tremendous change in the past few years thanks to the adoption of emerging technologies such as the smartphone.

Under 30, entrepreneurs and digital. This are the common traits that define the young Europeans chosen by Forbes magazine in its ’30 Under 30′ list. A mobile navigation aide for the visually impaired, a meal kit delivery platform, a t-shirt that allows users to peek inside the human body, a nightlife finder in London… Many tech-related projects that deserve special attention.  Here we take a look at a few of them.

Machines are getting smarter: trading trillions of dollars in stocks around the world, driving cars, performing surgical operations (570,000 last year), managing and running entire hotels, making cocktails on cruise ships in the Caribbean… truly, we are living in the age of the machine.

BBVA’s Global Head of Customer Solutions, Derek White, explained this morning that “It’s not longer about products, but about helping customers with their financial lives.” White participated in MoneyConf’s panel “Competition makes you smarter: Customer Centric banking,” where he exchanged ideas with Zopa CEO Jaidev Janardana and moderator Andrea Rexer, finance editor at Süddeutsche Zeitung.

Francisco González, Group Executive Chairman of BBVA, presented the book The Next Step: Exponential Life in an event held at the Massachusetts Institute of Technology,  This work collects the insights of twenty of the world’s most authoritative voices in a number of fields, analyzing the tremendous opportunities – and the risks and uncertainties – that the so-called “exponential technologies” will bring to humanity

Respected Spanish scientist Juan Ignacio Cirac believes that quantum computing could be a reality in 10 year’s time. A super machine capable of performing calculations at breakneck speeds that will open uncharted territories in matters such as encryption.

Apple, Google, Microsoft are Samsung are just one of the most obvious names that spring to mind when speaking about innovation. However, other companies are proving that innovation is not the exclusive hunting ground of the big guns of the digital economy.

The UN has declared February 11th the International Day of Women and Girls in Science to promote female scientists and engage women in engineering, research, mathematics and technology. In celebration of this day, BBVA explains its passion for numbers in hopes of inspiring new generations.

Of the 1,586 craters in the Moon named after scientists, only 28 of them have been named after a woman. A revealing figure to kick off the Women in Data Science (WiDS) event in Madrid, organized by Stanford University to promote women’s work in a new field that is disrupting industries across the world.

People interact with computers and electronic devices as a matter of course, but perceptual intelligence wants to go beyond that. The aim is for machines to perceive what human beings do around them, helping people make decisions or anticipating their needs.

User experience (UX) has become one of the keys to success in the digital economy. Design is pivotal, but on its own will not be enough to win the heart of those that download an app or visit a website.

Every January, Las Vegas becomes the tech capital of the world. Once again, this year the Consumer Electronics Show, or CES, touched down on the gambling mecca to kick off the technology season.

2016 have brought a quantum leap for society in the adoption of new technologies. Slowly but surely biometrics, virtual reality, domotics and cryptocurrencies are making inroads in consumers’ daily activities, and many of the advances predicted in “Back to the future” are now a reality. What’s in store in 2017?

How should machines learn to make the most out of the data they handle? Based on how scientists answer this question, they can be grouped into five tribes. They all see themselves capable of finding a master algorithm capable of discovering knowledge from data, with huge implications for everything we do.

Have you ever stopped to think about all the data you generate throughout the day? It was the possibility of actually making use of all this data through numerous apps, records and data bases that gave rise to Big Data.

The possibility of obtaining more efficient algorithms than people is not science fiction. It’s an area of work that has recently been making major progress and is now being applied to the financial industry, as confirmed at the roundtable on artificial intelligence and machine learning at the last IIF Spring Meeting’s, held in Madrid and sponsored by BBVA.

Understanding social networks and studying how they form and operate can help us understand all kinds of other events, including economic phenomena like bank runs and market crashes, through to warfare and crime.

BBVA has published the sixth title in its OpenMind collection, which takes on the challenge of exploring and helping people understand the powerful forces that influence our world today.

The Millenial Generation comprises all young people who became adults at the turn of the century, in the year 2000. But why are they different from other generations? Here are this group’s main characteristics.

Big Data and Data are two of the words most widely used nowadays in the innovation and entrepreneurship ecosystem. However, do we know about specific cases in which they have been used? This article will present some of these practical examples, in areas as diverse as sports, politics or the economy. From BBVA to Obama, from baseball to the Gay Pride Week in Madrid, the use of data and its analysis to predict trends and behavior is here to stay.