Confindustria Roadshow to spread Artificial Intelligence
Kick-off on 24 October from Reggio Emilia. Nocivelli: 'From ConfINHub the push, now use data to improve productivity'
by Luca Orlando
Advanced vision systems to improve quality. And then predictive algorithms to anticipate machine breakdowns or even advanced systems to interrogate complex databases with natural language.
Different paths, those taken by Italian companies in the world of artificial intelligence, now considered one of the key strategic levers for future competitiveness. A path that Confindustria aims to strengthen through a series of initiatives aimed at the manufacturing system, first and foremost to raise the level of awareness of the starting position in the digital sphere.
Companies that now have an additional tool in this journey: the ConfINHub project. Implemented by Sistemi Formativi Confindustria and the National Network of Digital Innovation Hubs (Dih) on behalf of Confindustria, it ranked first in the Mimit ranking among the proposals received able to obtain Pnrr funds (it is one of the 6 National Innovation Hubs). The project is coordinated by Sistemi Formativi Confindustria and operates in the territory through the 18 Digital Innovation Hubs of Confindustria, which involve more than 110 innovation managers for the provision of services to companies.
The aim is to provide a wide-ranging assessment of the digital progress already made for 630 companies (more than half are SMEs) of the 1,000 companies that the project plans to involve by 30 April 2026, distributed throughout Italy, with a prevalence in the south, as also required by the Mimit call for proposals, with an economic value already committed equal to two-thirds of the 7 million euro funding available to companies,
In addition to the services offered, there is also the Data Readiness Towards AI scheme, developed together with Confindustria Bergamo and the University of Bergamo, with the aim of offering companies a tool capable of providing an accurate snapshot of a company's ability to produce, collect, manage and interpret data, also in relation to the possibility of adopting Artificial Intelligence solutions.
