From quality to logistics, from maintenance to inspection, Physical AI opens up new possibilities for making operations smarter, more autonomous, and more adaptive, creating an increasingly close link between decision-making capabilities and on-the-ground activities.

Through a series of three sessions, we will explore the principles underlying this evolution, the technologies that make it possible, and some concrete application scenarios in the manufacturing sector.

The Sessions

Session 1 | September 29 | Teams Webinar
In the first webinar, we’ll analyze how the evolution of agent-based AI is bringing decision-making and coordination capabilities into operational processes. We’ll explore the key challenges transforming the manufacturing sector, the fundamentals of this new paradigm, and the first use cases, highlighting the potential impact on efficiency, quality, and operational continuity. It will also be an opportunity to present the fundamentals of the DGS approach to this topic.

2nd Session | October 8 | Teams Webinar
In the second session, we’ll dive into specific application scenarios, demonstrating how Physical AI can translate into concrete initiatives within companies. Through real-world use cases, we’ll explore applications in the fields of inspection, quality assurance, logistics, and industrial automation, while also examining the DGS model—which is based on a dedicated lab, rapid validation, and specialized expertise.

3rd Session | October 21 | DGS FuoriSICAM, Pordenone

On October 21, we’ll meet at DGS FuoriSICAM, where we’ll have the opportunity to delve deeper into the topics covered in the webinars and see Physical AI in action. The event will be a forum for discussion and networking dedicated to industry professionals, designed to transform the ideas that emerged during the online sessions into a concrete discussion about the opportunities and challenges this innovation brings to business.