Machine Learning

What is Machine Learning?

Machine Learning is a branch of Artificial Intelligence defined by a system that, fed by data, learns and improves continuously.
It is based on algorithms that learn and improve their performance automatically not through programming but through experience.
The various learning processes used in Machine Learning start from training data (examples, instructions, experiments) which are used to feed the Machine Learning model designed to answer a specific problem, make predictions or take better decisions.

Applications of Machine Learning

Machine Learning is one of the key innovations of the 21st century. Its applications range from search engines such as Google to voice assistants and social network news feeds, as well as more specialised applications such as customer relationship management, business intelligence and human resources systems.

Machine Learning at the service of our software users

At ProCAL, we aspire to offer customised, intuitive and intelligent software solutions. We make the user experience a key resource for improving our products and adapting to the habits, preferences and behaviour of users.

Indeed, the association of Machine Learning with the main functionalities of our software allows us to learn to anticipate the type of layout, products, assemblies and connections as we use the software, and to propose appropriate solutions to the user very quickly.

This system is based on the accumulation of data collected during use, which will be organised in a knowledge base.
This approach minimises the time required to set up your layout at the beginning of each design and thus considerably reduces the design time.

The major advantage of using Machine Learning in our software is the improvement of the performance of use from the recurrence of projects: the more you use the software, the more it gains in performance and intelligence!