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Innovation

Innovation

BBVA Open Talent Digital Trends finalists talk to BBVA executives during 'Speed Dating'

With the naming of DOV-E as its Global Trends winner at Next Money in Chicago, BBVA this week continued its push to find and partner with the world’s most innovative fintech start-ups.

For many of the startups competing in this year’s BBVA Open Talent competitions – even those that didn’t win  – the Open Talent experience is like no other, creating unparalleled opportunities for expert guidance, high-level networking with industry decision makers, and exposure to potential investors.

In Spain, while large companies and startups are already well aware of the value of data, small and medium-sized businesses are starting to awaken to this notion. In this article we take a look at three dimensions where ‘big data’ can make a substantial difference to boost the prospects of business success across companies of all sizes.

Agriculture stands at the threshold of a new revolution. The rising population, the competition for increasingly scarce resources and the phenomenon of climate change are just some of the challenges facing the sector as it seeks to feed all of humanity. We need to produce more with less, a challenge that the farm sector has already begun to answer, thanks to the Internet of Things, whose sensors have brought the benefits of big data to the farmsteads and croplands.

Serverless architecture, also known as FaaS (Functions as a Service) enables the execution of an application via ephemeral, stateless containers; these are created at the moment an event is produced that sets off this application. Contrary to what the term suggests, serverless does not mean “without a server.” Rather, these are used as an anonymous element of the infrastructure, supported by the advantages of cloud computing.
Here, leaving aside the hype that accompanies the term serverless, we explore in this post the possibilities it offers in architecture and applications development. We also study the principal alternatives for use in public and private clouds.

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Neural networks training is a time consuming activity, the amount of computation needed is usually high even for today standards. There are two ways to reduce the time needed, use more powerful machines or use more machines.

The first approach can be achieved using dedicated hardware like GPUs or maybe FPGAs or TPUs in the future. But it can also be done by splitting the task between more general purpose hardware like the one used in cloud systems.

This document summarizes the conclusions reached after researching the use of distributed neural networks.

It’s always new times for innovation. It has always been and it will always be. It’s in our nature to challenge the model to stress the rules. Even our own model.

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Perseverance is the key to success. That was the message BBVA’s Group Executive Chairman shared with an audience of finance and banking students at the start of the academic year. “Amazon was about to collapse twice. It has been hard for us, but here we are leading the transformation of the industry,” said Francisco González. Principles are the other fundamental element: “Never give in to misconduct,” he told them.