Team

The term Artificial Intelligence (AI) is used to identify a wide range of computer technologies concerned with creating and employing smart algorithms able to perform tasks that typically require human intelligence.

These technologies allow to drive down the time taken to perform simple and complex tasks, making processes smarter and faster.

Predictive analysis consists in using statistics and modeling techniques to determine future outcomes based on current and historical data. It permits to make predictions and generate insights with a quantifiable degree of precision (accuracy), which enable the evaluation of future opportunities and risks.

With the help of sophisticated forecast models it becomes possible to reliably predict trends and behaviors milliseconds, days, or years into the future, thus addressing instantaneous, short, or long term decisions that bring value or costs reduction.

Operations research is an applied science based on advanced analytics methods that permit to address quantitative decision problems and to find optimal or near-optimal solutions.

The result obtainable through the optimization process is numerical and can be used to address human decision-making or to directly prescribe actions.

Simulation consists in imitating the operations of a real-world or a hypothetical system over time. It allows to accurately represent both the physical and logical aspects that characterize and govern complex environments (in logistics, intralogistics, manufacturing, etc…).

The answers that can be obtained through simulation help to improve the efficiency, being usable either in the design phase of systems and processes (before realization), or during operations, with an online virtual copy of reality (digital twin).