Artificial Intelligence

We use Artificial Intelligence techniques in order to predict future behaviors based on real time data analysis, as well as the possibility of such predictions could be refined over time according to self-learning techniques.

Basically, what we do is associating abilities that only humans have, but to computational systems in a form that eliminates human interaction in some aspects.

This can be very useful at company level in order to automate some actions, eliminating human action and therefore improving efficiency, reducing the price and increasing profitability as a consequence. 

Artificial Neuronal Networks

A neuronal network is a tool that can provide with the ability of self-learning to a computational system.

This way, the outputs, that provide this computational system, are every time closer to reality. With a well-defined structure of a neuronal network - it’s possible to reach a point where we can get similar results to those made by a human being.  

IoT

IoT connects any kind of device to the internet in order to know at any time its location, status and anything one can imagine. In the end, any element that has an API that allows communicating with it through the internet, in order to extract certain information or even making that that element will perform a certain orderly action through the mentioned API.

Big Data

With the BIG Data we give the possibility to analyze large amounts of information in different formats, whether it’s structured data, semi-structured or without any type of structure. Data analysis is actually important due to its ability to result in performing a set of actions proactively. When analyzing data – it’s possible to extract behavior tendencies, which can lead to being able to predict certain future behaviors and according to these possible behaviors, to perform a series of actions aimed at making certain unwanted behaviors not to ever occur. 

BOTS

With BOTS, what we do is to define programs that can guide a user in the achievement of a goal. Besides, with BOTS, there’s a possibility to make a certain type of decisions automatically - based on prior information. This may be applicable to a BOT that simulates an operator attending to a user to solve an incidence, for example. BOT would be capable of performing a certain action that can potentially solve the incidence based on the prior information given by the user.