In modern business world in conditions of keen competition and every day changes only the company, whose employers can evaluate current changes the most precisely and take right decision as fast as it is possible, can reach success.

However, in some cases the process of taking decision may prove to be non-trivial task for a person due to a great amount of data that has to be comprehended and processed. Besides, it should be mentioned that a man mainly uses his subjective preferences while making a decision and this can bring him to wrong evaluation of situation.

'Artificial Intelligence Builder' - is a system of artificial intelligence which helps a man to take a right decision, provides its own conclusions on the basis of forecasting and prediction with the help of mathematical model (simulator).

'Artificial Intelligence Builder' - automatically detects in the supplied data both knowledge and dependence of different factors which at first sight can be taken by man for unrelated ones. Then the program introduces generated problem solving in the form of so-called 'model'. This model is made with the help of impartial analysis of existing data, amount of which can be too large and its processing by a man himself can take too much time.

The model contains revealed knowledge and can be of two types: descriptive and predictive.

For example, if you are an owner of a shop, models that depict the behavior of your customers during purchases and the models that describe the customers themselves can be of great interest to you (purpose - knowing this or that model of customers' behavior or the exact category of customers - to increase profit as much as possible on the basis of this knowledge). Predictive models are of great value during making decisions on sales volume forecasting or when a doctor is diagnosing a patient.

Knowledge in the model can be presented as formula, 'decision tree', associated rules or data clusters.

Usage of such a system essentially speeds up and completes any decision making process, helps to find hidden knowledge and dependences in data, makes it possible to have a look at the problem rather impartially than a man can and as a result gives a company enormous advantages among competitors.

Make good money, gentlemen!

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