Deep Intelligence uses highly advanced technologies to offer the features that best fit your business needs. Our tool is upgraded continuously to provide our clients with the latest functionalities as soon as our development team creates them. Innovative AI & Machine Learning algorithms are always delivered to your Deep Intelligence.
Your business will always be on top!
Machine Learning emerged in response to the growing technicality of AI. Data became bigger and more complex, and new solutions were needed. It was not enough for machines to imitate human behaviour. The new objective was to imitate how the human mind LEARNS. Machine Learning is a subset of AI, a set of algorithms designed to provide machines with learning capabilities.
How does our platform implement the latest Machine Learning techniques? Deep Intelligence:
- Combines complex mathematical algorithms whose objective is to imitate the processes of the human brain.
- Optimizes the performance of algorithms and techniques by adapting them for specific tasks.
- Feeds algorithms continuously with large amounts of data.
- Provides enriched and updated feedback every time: indicates correct/incorrect results.
- LEARNS from previous cases about optimal algorithm and data combinations for each case.
- PREDICTS the results from the input data because it has the ability to learn continuously.
Deep Intelligence uses different advanced algorithms, such as Classification and Regression (Trees, Ensembles, Linear Regressions, Logistic Regressions, Deep Neural Networks), Time Series Forecasting, Cluster Analysis, Anomaly Detection, Topic Modelling, Association Discovery, Principal Component Analysis (PCA) and Neural Networks.
In short, Deep Intelligence optimizes the predictive capacity of Machine Learning techniques and algorithms, to help the user take the best decisions for their business. Deep Intelligence not only predicts the results from the data, it is also able to choose the data that produce the results you want for your business.
Choosing the correct visualization format is essential, it allows you to visualize your data in the simplest, most intuitive and complete way possible. This is the goal of Deep Intelligence.
Choosing the visualization format preferred by the users makes the use of the platform more user-friendly and comfortable.
The combination of both efficiency and ease of use makes Deep Intelligence a unique and essential tool. Our advanced visualization techniques have been designed to facilitate decision making by representing useful and comprehensive business information in a relatively simple and intuitive format.
Forget about confusing graphs that only waste your valuable time.
Deep Intelligence incorporates multiple visualization formats and continuously updates and includes new types of graphics , adapting them to your business sector if necessary.
Not so long ago, the concept of Artificial Intelligence (AI) has been limited to science fiction movies, but today it is a part of daily life. To put it simply, AI is intelligence implemented by machines. An ideal "intelligent" machine would be capable of perceiving its environment and responding to its needs by completing adequate tasks.
Popularly, the term "Artificial intelligence" is applied when a machine imitates the "cognitive" functions that we associate with the human mind: "perceiving", "reasoning", "learning"… In short, "solving problems". From a practical point of view, Artificial Intelligence (AI) is implemented through numerous techniques, however, what they do is more important than how they do it.
Deep Intelligence adopts the most pragmatic vision of AI: the ability to correctly interpret external data, learn from it, and use extracted knowledge to achieve a specific goal: identifying important information and optimizing decision making for your business.
Normally, companies accumulate a lot of data over the years. Sometimes they just don’t know they have them. Quite often, they are not aware of the fact that they can extract very valuable business information from them. In most cases, data is stored carelessly: it is not digitized and left forgotten, in formats that are incompatible with each other... Deep Intelligence helps you identify the sources from which you can obtain your data and extract the most important information efficiently.
Data pre-processing, cleansing and optimization are the key stages of the Artificial Intelligence processes used by Deep Intelligence:
- Data is collected from multiple data sources: from complex databases to plain text or CSV files.
- Valuable data is identified and irrelevant data is deleted (cleansing).
- Data is merged.
- Loading times are reduced through process optimization.
- Formats are adapted to simplify the execution of Machine Learning algorithms.
- Advanced visualization techniques are applied to provide simple and intuitive graphic representations.
The main goal of the activates performed by Deep Intelligence is to transform your raw data into highly valuable business information, to help you make the best decisions and increase the performance and profit of your business.
Deep Learning goes a level beyond AI and Machine Learning. It imitates the human mind to improve the results of algorithms. One of the techniques initially used by Machine Learning was the so-called Neural Networks. The basic idea behind them was to imitate the functioning of the human brain, specifically that of billions of neurons, connected to each other by synapses. The advances in technology soon proved that it was necessary to expand and improve the design of those first neural networks...
Deep Learning implements much more complex neural networks, it is more similar to the human brain, both in the number of neurons and in the complexity of the relationships and connections between them.
While Machine Learning needs to know in advance the processes of identification and classification, similar to those used by the human brain, Deep Learning algorithms are able to "discover" these mechanisms automatically.
Deep Intelligence provides a complete range of the most advanced algorithms and techniques, which can be adapted flexibly to different tasks according to the desired result.