Predictive maintenance represents one of the most tangible applications of Artificial Intelligence and Industrial IoT in the industrial sector. By analysing data from equipment, potential anomalies can be identified before they lead to failures, helping to improve system reliability, operational efficiency and service planning.

At AI@DEI 2026, Alessandro Pinato, Head of Strategic Product Management, and Mosè Prandin, PAC Project Manager & Minifactory Leader, presented BlueBox Predictive Maintenance during the session dedicated to AI, Manufacturing & Industrial IoT.

The presentation provided an opportunity to explore the role of Artificial Intelligence and Industrial IoT in the evolution of maintenance processes, illustrating how data and advanced analytics can support a more proactive approach to equipment monitoring and the management of potential anomalies.

BlueBox Predictive Maintenance is the result of a collaboration combining industrial expertise with advanced data analytics capabilities. As part of this collaboration, Statwolf contributed its expertise in data analysis to the development of the solution.

Participation in AI@DEI 2026 also provided a valuable opportunity to exchange perspectives with the academic and industrial communities on the potential development and application of Artificial Intelligence in manufacturing.

We would like to thank the Department of Information Engineering (DEI) at the University of Padua for the opportunity to share our experience, exchange ideas with researchers and industry professionals, and contribute to the discussion on the future of AI in manufacturing.