Data analysis and in particular Big Data is the most strategic sector of advanced information technology. Neural Simulation is bringing important elements of innovation into this context.

In particular, Neural Research is engaged in research and development projects on the Digital Twin. As the name suggests, the Digital Twin attempts to represent a physical reality through a data structure so detailed that it functions as a virtual model of the physical twin.

The physical reality represented can be a building, a city, a natural ecosystem, a social organization.

In the Digital Twin, a connection is created between the digital world and the physical world through a continuous exchange of data and information both in "real time" (synchronous mode) and after the event (asynchronous mode).

The purpose of this technological approach is to make the digital model evolve until it becomes a copy so faithful to the physical twin that it can simulate its operation.

The term Digital Twin was born and developed above all in the industrial field where it is generally used with the specific meaning of virtual reproduction of a real process based on the collection of data from sensors.

Digital twins are already used in many industrial sectors for the optimization and maintenance of physical systems. A very interesting phenomenon, which has been developing in recent years around this sector, is the relationship with the industrial internet where physical objects are made to interact virtually with machines and people.

It is therefore a true virtual life of these digital twins. In some contexts there is also talk of "cyberobject" and "digital avatars".

In recent years, digital twins have increasingly begun to rely on the use of artificial intelligence and machine learning algorithms to be able to generalize and be predictive.