Machine learning has many applications, so far we are looking for solutions for the group companies, tourism and retail sector, these applications cover especially the area of natural language processing, for example to catalog books, as well as forecast data such as sales that is going to happen or the cancellations that are going to be
Our first major development started 2 years ago with the creation of an effective cache to offer faster and more efficient pricing. This development was a huge challenge due to the millions of queries received by the tour operator. On the other hand, with 500,000 different hotels, modeling an effective cache required immeasurable computing capabilities.
The commitment to make the best and fastest cache possible led us to push our limits and our demands to the maximum. Finally, out of necessity came the idea behind PRModel, our Machine Learning framework, which has facilitated this development. Right now we are focused on providing new capabilities to PRModel to model other problems, especially the LSTM type to make predictions, for example in the stock market.
Now we are prepared, we have a technology that gives us a great competitive advantage and we have know how and personnel to predict the complex world of the stock markets with ML TradeTool.
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