Software engineering
From big data to machine learning: new solutions for smart factories
Software solutions for smart factories
The real digital revolution consists in the management of data coming from the world of objects. The use of these data will have a disruptive effect on improving production processes by reducing wastes and improving quality.
The tremendous amount of available data and the increasing computational capacity allows creating mathematical models capable of analyzing complex and not easily modeled phenomena.
Machine Learning is a method of data analysis that automates the development of analytic models. Using algorithms that iteratively learn from data, machine learning enables computers to find hidden insights without being explicitly programmed to know how to create them.
The tremendous amount of available data and the increasing computational capacity allows creating mathematical models capable of analyzing complex and not easily modeled phenomena.
Machine Learning is a method of data analysis that automates the development of analytic models. Using algorithms that iteratively learn from data, machine learning enables computers to find hidden insights without being explicitly programmed to know how to create them.
The advantages of Big Data
Productivity
Collecting and analyzing large amounts of data allows the extrapolation of useful information to identify wastes and increase productivity.
Agility
When the number of variables affecting a production process is high, the use of machine learning algorithms allows you to extract information quickly and effectively.
Management support
By aggregating and analyzing data, you can create predictive growth models and make more productive and sustainable choices.
Our solutions
Big Data Analysis and Management
Advanced Graphics User Interfaces
Creatiion of models for machine learning
Software for interfacing applications
Process scheduling algorithms
Development of augmented reality systems
