Assolombarda’s proposal

Biffi: ‘A ZIS dedicated to artificial intelligence in Milan’

The first use cases for the ForgIA project, aimed at developing a platform for sharing and testing applications, have been presented

3' min read

Translated by AI
Versione italiana

3' min read

Translated by AI
Versione italiana

Sharing warehouse data to improve time-to-market. Or real-time monitoring of order status throughout the supply chain. Or the certification of energy-efficiency measures, and training models on distributed data without sharing it, thereby safeguarding intellectual property and privacy.

Those highlighted by Hydroservice, Maire, Epta and Bracco, respectively, are the first concrete use cases of Assolombarda’s ForgIA project, an initiative aimed at transforming secure data sharing into new opportunities for innovation, enabling businesses to develop artificial intelligence applications capable of solving concrete operational problems, thereby improving efficiency and competitiveness. A landmark development is currently underway in the sector, with Assolombarda putting Milan forward as a key hub, including in terms of the regulatory framework.

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“To the Lombardy Region,” explains Alvise Biffi, president of Assolombarda , during the ‘Rethinking Manufacturing’ event, “we have proposed the establishment of a Special Innovation Zone dedicated to Artificial Intelligence. This is to transform Lombardy, and in particular the Metropolitan City of Milan, into the leading ecosystem for the adoption, testing and industrial development of AI. Milan, in fact, has everything it takes to become the capital of AI applications: its strong manufacturing tradition, already integrated with digital technology and working in synergy with innovative services, is the key to establishing itself as a laboratory capable of embracing change, acting as a trailblazer for the country.”

A significant step forward in this regard has come from the President of the Lombardy Region himself. “Our region,” explains Attilio Fontana speaking at the conference, “can position itself to become a leading hub for these issues, not only for Italia but for the whole of Europe. With a ZIS, it can become a platform that channels the use of artificial intelligence to benefit the manufacturing sector.”

Among the challenges to be tackled along this journey is, first and foremost, that of transforming the existing data assets into industrial value – the fundamental premise around which the ForgIA project revolves. “An ecosystem,” adds Biffi, “that enables businesses, particularly SMEs, to access advanced artificial intelligence tools and develop solutions capable of boosting productivity, efficiency and competitiveness. Our aim is to contribute to a 10% increase in productivity among local SMEs, generating up to 2.4 billion euros of added value in the Assolombarda area.”

“The true potential of Artificial Intelligence,” adds Stefano Venturi, Special Advisor on Artificial Intelligence and Digital Transition at Assolombarda, “lies not only in algorithms, but in the ability of businesses to capitalise on their data and collaborate across supply chains. With forgIA, we are building the necessary trust infrastructure that enables companies to share digital assets, develop concrete use cases and accelerate the adoption of AI whilst retaining full control over their data. Our aim is to make innovation accessible and scalable. The feedback we are receiving from companies and the numerous use cases that have already emerged confirm that this is the right direction to take to generate widespread and lasting value.”

Milan and Lombardy are making progress in the field of innovation thanks in part to the euroFMX project, one of the EU’s major initiatives dedicated to Artificial Intelligence for the manufacturing sector, coordinated by the Politecnico di Milano and funded with 45 million to create the first European ecosystem for the development and implementation of generative Artificial Intelligence and Agentic AI models, capable of supporting and automating decision-making and operational processes in manufacturing. “The aim,” explains Andrea Matta, a lecturer at the Politecnico and project coordinator Andrea Matta – “is to provide European industry with advanced artificial intelligence tools capable of operating autonomously, scalably and reliably, fostering new levels of productivity, resilience and innovation throughout the entire value chain. A vision that combines scientific excellence, industrial competitiveness and European technological sovereignty, so that the value generated by Artificial Intelligence can translate into growth and strategic autonomy for European manufacturing.”

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