STHAL Prediction

Prediction

For our human perception, certain patterns or paths in the data, specially non-linear or probabilistic data changing in time, are difficult to rationalize without tools.

In the image at first sight, the complexity of the underlaying pattern is difficult to perceive from the image. When doing an analysis using pattern recognition, the computer algorithm can find a model, in this case a mathematical equation, that delivers a similar pattern.

Once the equation is known, is now easier to describe the pattern in a way which can be understood by different people in different environments, or by systems doing monitoring or tracking to set up the appropriate parameters to respond correctly.

We do models for machine learning, pattern recognition and artificial intelligence applications.

Technologies are cost effective and available to describe your business digital version and deploy your solutions faster, explore new alternatives in line, real time and frequently as needed, finding solutions on multiple trial and error bases is not cost effective. Let the computer learn and be trained to find novel solutions to your common and routine issues, predicting outcomes before you make a decision.

This technology can be use to solve problems of classification, regression, clustering and rule extraction.