What is the Industrial Data Ecosystem?

forgIA Industrial Data Ecosystem is at the heart of the entire initiative and aims to build an ecosystem that enables data sharing along specific value chains or within industrial sectors with similar needs. Through defined governance rules, common standards and structured processes, the ecosystem provides a secure environment for data exchange, ensuring that ownership always remains with the respective owners.

Regardless of the technology used, the aim is to harness the potential of data whilst ensuring that the value generated remains anchored to the data’s region of origin. System governance and data sovereignty protect participating businesses and also enable small and medium-sized enterprises to create local, sustainable and long-lasting value.

forgIA Industrial Data Ecosystem creates the conditions for the widespread adoption of Artificial Intelligence-based tools capable of improving business processes, with the aim of achieving a significant increase in productivity.

Videos

forgIA Industrial Data Ecosystem: how to overcome data fragmentation and facilitate integration between companies, enabling the adoption of technologies such as artificial intelligence

Video Presentation

Stefano Venturi

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Special Advisor for AI and Digital Transformation, Assolombarda

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Managing AI in the company: we discuss this with Prof. Oreste Pollicino

Managing AI in the company: we discuss this with Prof. Oreste Pollicino

The webinar aims to provide participants with the basic tools to understand the challenges and opportunities presented by AI and to encourage reflection on the value of sound governance, based on the framework set out in the AI Act

  • Date 20/11/2026
  • Time 09:30 - 11:30
  • Location Webinar
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Technology and AI for the circular economy with Simbiosi: new models for competitiveness

Technology and AI for the circular economy with Simbiosi: new models for competitiveness

The Next Engineering series concludes on 15 December at 10.00 am with a session focusing on technological evolution and new models of circularity.

  • Date 15 December 2026
  • Time 10:00 - 11:30
  • Location via Pantano, 9 - Milan
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