Machine learning is a subset of artificial intelligence in the field of computer science that often uses statistical techniques to give computers the ability to « learn » (i.e., progressively improve performance on a specific task) with data, without being explicitly programmed. Within the field of data analytics, machine learning is a method used to devise complex models and algorithms that lend themselves to prediction; in commercial use, this is known as predictive analytics. These analytical models allow researchers, data scientists, engineers, and analysts to produce reliable, repeatable decisions and results and uncover hidden insights through learning from historical relationships and trends in the data.

With a long history of data acquired over time, Tyms has developed machine learning tools that can replace traffic studies for example. We know in advance an airport, station or highway will be congested with a great precision thanks to deep learning. We also predict in advance the fares and the turnover of any operator in a given period.