Impact of Artificial Intelligence in Manufacturing
Mission
The Observatory on Artificial Intelligence for Manufacturing was established in response to the growing need within the industrial sector to understand, experiment with, and systematically adopt Artificial Intelligence (AI) technologies in production systems. The manufacturing industry is undergoing a radical transformation, driven by the Fourth Industrial Revolution, where advanced automation, interconnectivity, and digitalisation are reshaping the very concept of production.
AI is progressively enabling new forms of intelligent control, adaptive process optimisation, predictive maintenance, and advanced data analytics, with tangible impacts on operational efficiency, product quality, traceability, and process sustainability. At the same time, the shift towards Industry 5.0 is placing humans back at the centre—as decision-makers and supervisors—in an ecosystem where collaboration between operators, smart machines, and digital systems is becoming essential to meet dynamic and highly customised market demands.
The Observatory serves as a bridge between universities, industry, and local ecosystems, with the mission of contributing to the technological evolution of Italian and European manufacturing. In particular, it is promoting the development and dissemination of skills, methodologies, and practical tools to support the responsible adoption of AI across the entire production chain.
The activities of the Observatory include:
- Taxonomic study to coordinate definitions of AI in manufacturing;
- Case studies, highlighting benefits, challenges, and adoption strategies;
- Development of indicators and guidelines for evaluating AI solutions from both productivity and sustainability perspectives;
- Technical and managerial training, through courses, seminars, upskilling programmes, and joint initiatives with companies and industrial stakeholders;
The Observatory aims to become a reference point for companies navigating the transition towards intelligent, adaptive, and value-driven production models.
- AI drives smarter, faster and more sustainable industrial processes for a competitive industry.
- The new industrial revolution speaks the language of AI.
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Predictive, adaptive, smart:
the evolution of productive activity.
Coordinators and Members
Giuseppina Ambrogio, Università della Calabria
Gabriele Baiocco, Università degli Studi di Roma “Tor Vergata”
Giuseppe Casalino, Politecnico di Bari
Franco Di Russo, Università degli Studi di Roma Sapienza
Sergio Fichera, Università degli Studi di Catania
Luigino Filice, Università della Calabria
Antonio Fiorentino, Università degli Studi di Brescia
Silvio Genna, Università degli Studi di Roma “Tor Vergata”
Claudio Giardini, Università degli Studi di Bergamo
Marco Grasso, Politecnico di Milano
Antonio Langella, Università degli Studi di Napoli “Federico II”
Marco Leonesio, Istituto STIIMA – CNR
Adrian Lutey, Università degli Studi di Parma
Giulio Mattera, Università degli Studi di Napoli “Federico II”
Luigi Nele – Università degli Studi di Napoli “Federico II” (Coordinatore)
Martina Panico, Università degli Studi di Napoli “Federico II”
Massimiliano Annoni, Politecnico di Milano
Walter Terkaj, Istituto STIIMA – CNR
Marcello Urgo, Politecnico di Milano
Elisa Verna, Politecnico di Torino