Digital revolution: Vittorio Massone analyzes the factors contributing to the phenomenon of disruption

Hyper-connectivity, data proliferation, quantum leap in computing speed and machine learning are some of the elements analyzed by Vittorio Massone, expert in management and digital strategies, in his latest contribution which deals with the theme of the digital revolution and, specifically, the factors contributing to disruption of traditional business models.
According to the current Vice Chair of the Board of Directors of Alkemy, an Italian company specialized in the evolution of business models, thanks to the entirely new phenomenon of hyper-connectivity, companies, people and “machines” that we use are and will be increasingly connected to the internet in many ways: by 2025, in fact, 75 billion objects will be connected and 5G mobile telecommunication networks will act as an additional accelerator.
Secondly, Vittorio Massone continues, the other element represented by the proliferation of data, generated by each person or object, leads to the production of a huge amount of information. From this consideration it emerges that those who have access to these data know a lot about the subject that generates them and can analyze historical information in a scientific and objective way.
The in-depth analysis of the expert in management and digital strategies proceeds by analyzing a further factor that contributes to the phenomenon of disruption: the increase in computational capacity and speed. In this regard, says the manager, the last fifty years have marked a real quantum leap that has produced a reduction in processing and storage costs, with a performance that has increased by a trillion times and is still increasing. Furthermore, the creation of clouds has accelerated the phenomenon through data processing in an infinitely greater way than that which individual companies can have.
Finally, Vittorio Massone concludes by highlighting the factor of machine learning, which has allowed machines to analyze data that is sometimes produced by machines themselves. Through this phenomenon, writes the expert, machines can “learn” to analyze data, supporting several types of decisions.