Predicting crime: fact or fiction?
  • Santiago González
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  • Big Data . Crime Predicction . Innovation . Predicción de crímenes .

According to the OMS, one of the main worries of global society today is violence and crime, making avoiding crime and creating centers of intelligence to do so the main objective for police and judicial systems. In this sense, as director of innovation and influenced by science fiction, I set out to analyze this situation. Using the traditional scientific method, the first step was to ask questions and hypothesize: Is it possible to predict the place, date and time of a crime? And if so, to what extent, in what kind of detail? Do we have experience with this? Who can offer us information? Has anyone done this before and, if so, what were the results? Thanks to our previous…

Internet of Things: In my fridge?
  • Pedro de Gregorio
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  • Big Data . Data . Data Analytcics . internet of things . IoT .

The Internet of Things is a concept that is often tied to a vision of the future, mid- and long-term horizons, reflections on what can be achieved and an infinity of possibilities that can open up in a moment that never quite seems to arrive. There are many high expectations attached to this concept, leading, inevitably, to skepticism on the part of those who do not see the returns that they had in mind or, worse yet, of those who were never excited about it and gave up with a simple “Why would I want the internet in my fridge?”. When a concept or a paradigm such as the Internet of Things appears on the scene, it is difficult to…

An economist… working on the good side
  • Sergio Mayor
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  • Big Data . Big Data & Business . Big Data Consulting . Big Data Value . Carme Artigas . Fraude Fiscal . Synergic Partners .

Before I start, I would like to introduce myself to better contextualize this post. My name is Sergio Mayor Martin, I am an economist and I am currently working as a Business Consultant at Synergic Partners, pioneer in the world of Big Data in Spain. For us, the students of Economic Sciences, the name of our discipline has always been under discussion, with the second half of the title of those studies often being left off and leaving us with just plain “Economics.” This is due to traditional thinking, based on everything the term “Science” carries along with it, what exactly it should be and why economics is not one. This affirmation with reference to the world of economics is…


If I ask about the best way to manage the storeroom of a neighborhood shop, I am sure that we would quickly reach the conclusion that there are certain aspects that are absolutely necessary, such as, for example, that it be organized (in order to find the product when a customer asks for it), that it have an inventory (in order to know how many units I have, which models, their conditions and whether or not they are close to expiration) and that it be locked (in order to avoid someone coming and stealing the merchandise or simply destroying everything so that we cannot sell it). If, instead of the neighborhood shop, we were to discuss Amazon, no one would…

A Brief History of Machine Learning
  • Víctor Gonzalez
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  • Big Data . ciencia de los datos . Data Science . Machine Learning .

As members of the Machine Learning community, it would be a good idea for us all to have an idea of the history of the sector we work in. Although we are currently living through an authentic boom in Machine Learning, this field has not always been so prolific, going through periods of high expectations and advances as well as “winters” of severe stagnation. Birth [1952 - 1956] 1950 — Alan Turing creates the “Turing Test” to determine whether or not a machine is truly intelligent. In order to pass the test, the machine must be capable of making a human believe that it is another human instead of a computer. 1952 — Arthur Samuel writes the first computer program…

IoT: When Material Acquires Intelligence
  • David_Morillas
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The term IoT refers to the Internet of Things, a sort of interaction between the digital world and the physical one, a platform for connecting people, objects and environments. In the environment of IoT, the moment in which something connects, it becomes capable of accessing the power of computation of the cloud or, in other words, it becomes intelligent. The implementation of this technology and the trend towards automatization is unstoppable; each second an average of 127 things establishes a connection with the internet for the first time. All of this is possible thanks to what Moore’s law has not been able to accomplish, which says that as electronic computation grows in potential, it decreases in price exponentially. These improvements…

Warnings about normalizing data
  • Santiago Morante
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For many machine learning algorithms, normalizing the data of analysis is a must. A supervised example would be neural networks. It is known that normalizing the input data to the networks improve the results. If you don't believe me it's ok (no offense taken), but you may prefer to believe Yann Le Cunn (Director of AI Research in Facebook and founding father of convolutional networks) by checking section 4.3 of this paper. You can catch up the idea with the first sentence of the section: Convergence [of backprop] is usually faster if the average of each input variable over the training set is close to zero. Among other things, one reason is that when the neural network tries to correct…

When Michelangelo Invented Big Data
  • Álvaro Alegría
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  • Big Data . digital transformation .

They say that when Michelangelo was asked about his impressive technique in sculpting the Pietà in just one piece, his answer was: “The sculpture was already inside of the stone. I merely eliminated the extra marble.”   It’s impossible to deny that, from a simplistic point of view, sculpting is getting rid of the extra material. However, something must influence the artist, because, if most of us were handed a block of marble, a hammer and a chisel, we would most likely not be able to sculpt anything recognizable.   And it is the creativity of the artist, more than the handling of their tools, that is the added value that they bring to what they do and what makes…

An architecture to tweet them all
  • Carla Martínez
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The definition of the project was simple: find out what it is that people think of our client on Twitter, both the good and the bad, and be able to visualize it all on a dashboard. Or at least as much as possible. As soon as we find out the range, we try to get as close as we can. Read from Twitter, analyze what is said and process it. Three modules. The architecture didn’t seem complicated, but we had no idea what was ahead. I have always been taught that a good engineer finds a problem, suggests a solution and chooses a series of tools to carry it out. Problem, solution and tools. Always. Well… not always. In this…

Big Data, the Key to Business Value
  • Carla Martínez
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  • Big Data . Business . conectividad . datos . innovación . internet of things . monetización . negocio . Value of Data .

We live in a time in which digital transformation is a part of every forum on business. In these forums, an idea is spreading that the digital will allow brands to interact directly with consumers, to perceive the perception of the brand, and to understand how their products are being used. Therefore, the digital environment will allow them to better understand the consumer and will serve as an anchor for customer loyalty in both the medium term and the long term. Companies have already realized how disruptive this new context has become, and the large investments made to have a presence in digital channels can be clearly seen, whether it be in owned media (space belonging to the brand itself),…

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