Short, medium or long-term forecasts of phenomena, thanks to correlation analysis between variables
Customised AI models
Tailored data modelling for new business frontiers
Methodologies we rely on
Intelligent control systems that suggest the optimal setting of variables before the cycle of development is complete
High-level prediction and planning of the ideal production/organizational sequence, in order to reduce process execution times and save resources
Analysis and extraction of information from images and vision systems, with high granularity and frequency, to transform a visual element into numerical data, analyzable with advanced mathematical techniques
Algorithms that understand human language, speeding up large-scale analysis and enabling human-machine conversational systems
Development of algorithms for the automated execution of repetitive computer processes (also multi-platform) that do not require operator discretion, reducing the probability of error and execution time
Development of user-friendly systems for the analysis of complex data and the calculation of KPIs of interest
Why Data Modeling
Data Modeling through Artificial Intelligence is a crucial activity, because it creates the ideal conditions for displaying data correctly and activating it in the best possible way.
Creating an ad hoc model of machine learning involves establishing what types of data to collect, how to organize them and how to operate them to obtain the answers to the most diverse business questions.
Our Data Science team is responsible for combining and organizing data of different nature – structured and unstructured, internal and external, traditional and alternative – from different sources in a data lake specifically built to extract tangible value.
With smart, transparent and scalable analysis models based on our Artificial Intelligence framework, we support your company to open new business frontiers and quickly gain competitive advantages, after only three months from the start of projects.