Research Coordinator, Project Manager of the AI REGIO project, Politecnico di Milano
Sergio Gusmeroli (male) born in Sondrio (Italy) in 1961, he finalized his education at Politecnico di Milano in 1986. After several experiences in different branches of the ICT domain, in June 2000, he was appointed director and operating manager of the International Research & Innovation Unit of TXT e-solutions, an IT company leader in EU for Supply Chain management solutions. In TXT he coordinated diverse FP7 EC funded projects in the ICT for Manufacturing domain: COIN, MSEE, TELLME, FITMAN, OSMOSE. Since 2015, Sergio is a senior consultant for Politecnico di Milano and has been in charge of several H2020 Factories of the Future projects such as PSYMBIOSYS, BEinCPPS, BOOST4.0, MIDIH, QU4LITY and AI REGIO. He is author of more than 30 publications / papers in Italian and International magazines and conferences. His main areas of competence and experience include ICT for manufacturing and specifically Data Analytics and Artificial Intelligence for Manufacturing
Sergio is speaking at
The debate about Data Sharing Spaces in Manufacturing was originated in the Industrial Data Space German national project (2014-2017), where the first reference architecture and implementations were developed. The EU Data Package in 2018 and the guidelines for implementing an EU common Data Space in the private sector provided precious indications about the business and revenue models suggested for B2B Data Spaces, including Open Data, Data Monetization and Trusted Data Networks. Later on, the EC launched two events in September 2019 and after the EU Data Strategy on May 2020. In parallel with those leading edge initiatives, the BOOST4.0 BDVA Lighthouse project (coming close to its conclusion in December 2020) about Big Data in Manufacturing was conducting its activities both in the scientific-technological perspective (IDS building blocks implementation and certification programme) and in the industrial-experimental perspective (an ecosystem of industrial pilots realizing the European Industrial Data Space)
The session will present the most significant results of the BOOST4.0 project in the definition and implementation of Data Sharing Spaces in Manufacturing, in the frame of research / innovation as well as market / business perspectives provided by external leading edge experts.
The session aims at discussing the theme “Data Sharing Spaces in Manufacturing” starting from the experiences gained by the BOOST4.0 BDVA Lighthouse project in designing, developing and experimenting in industrial pilots Data Sharing Spaces and Platforms.
In the next Multiannual Financial Framework (MFF) 2021-2027 of the EC, Artificial Intelligence (AI) is one of the three main technological pillars of the Digital Europe Program (see the AI Data and Robotics Partnership website). In the Spirit of Digitising European Industry communication of 2016 and with the major aim to support SMEs in their Digital Transformation pathways, Digital Innovation Hubs (DIH) initiatives have been created on a regional basis and have followed recently a very prosperous evolution in H2020 and in the EC Catalogue. The recent EC Data Strategy has finally identified in the (smart) Manufacturing Industry (SMI) one of its nine main vital economic sectors where to materialize the EU Data Economy model.
The session will host leading edge experts and organizations that in the recent years have contributed to the independent success of the three domains (AI, DIH, SMI), striving to achieve a common scientific, technological, business and social ground from where to develop the coming MFF in the next seven years.
The session aims at defining the state of play, identifying opportunities and challenges and finally envisaging lessons learned and recommendation for a full deployment and adoption of AI applications in the SMI and in particular in its SMEs through dedicated DIHs Networks.
Data Marketplaces are the main vehicles driving EU society and industry “Towards a European Data Sharing Space” (see BDVA position paper). According to this report “Data Marketplaces are built on Data Spaces and Data Platforms where data is commercialized using Open Data, Monetized Data and Trusted Data sharing mechanisms”. Interpreting it with the lenses of manufacturing industry, this means that Data Marketplaces rely on B2B trusted Data Spaces based on Data Sovereignty, on top of which to implement a Data Sharing Platform supporting different business models, from Open Data, to Monetized Data, to Closed Data Exchange networks. An extremely important competitive advantage for EU Manufacturing Industry with respect to low-wages Countries is the possibility to implement Product-Service-Systems (PSS) where advanced (in many cases AI driven) services are wrapping high-quality products, allowing customization, personalization and in one word servitisation of the business. Large companies e.g. in the Machine Tools, Aeronautics, Automotive, Shipbuilding domains since years have understood the competitive advantage of servitising their long-lasting products, but have implemented a Data/Service network on proprietary closed solutions, this way preventing SMEs from fully exploiting the opportunities offered by PSSs.
In the recent years open Data Models (for assets, materials and products), open Data Spaces architectures and reference implementations and open Data Platforms have been developed in several projects and initiatives, this way unleashing also to SMEs the possibility of joining B2B equipment Marketplaces based on Data and Services provided under Data Sovereignty principles.
It is vital for the competitiveness of EU Manufacturing Industry (and SMEs in particular) to provide open, standard and interoperable digital Marketplaces where they can sell their high-quality products accompanied by advanced added value services and enabled by open and common Data Spaces. Some projects in the NMBP-20-2018 call “A digital 'plug and produce' online equipment platform for manufacturing” as well in the EU Materials Modelling Council have implemented interesting advancement towards a common Equipment & Materials Marketplace based on Open Data Spaces and Semantic Models.
The session aims at presenting results and discussing future perspectives among different projects and initiatives towards a common EU Data and Service Marketplace for the Manufacturing Industry.
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