Research Area Manager and Head of the "Smart Industry and Agrifood" Unit, Engineering Ingegneria Informatica Spa
Graduated as Doctor with laude in Computer Engineering from the University of Palermo, he has been working in the R&D Lab for Engineering Ingegneria Informatica S.p.A. since 2006 where he has established solid backgrounds on Italian and European research projects and initiatives. Now he is the head of the "Smart Industry and Agrifood" Unit within the “Industry and Security Technologies, Research and Innovation” (IS3) Lab. His role as Research Area Manager mainly concerns with coordinating a group of more than 20 researchers (based on Palermo, Rome, Lecce, Naples, Siena, Trento) using state-of-the-art PM methodologies (e.g. PMP, PRINCE2 and Agile/SCRUM); defining the strategic roadmap and the operational plans of the Unit; coordinating several research projects and collaborating with the Industry Business Unit of the Engineering Group. The main application fields are Internet of Things, Big Data, Advanced Manufacturing, Enterprise Social Software and Digital Workplace, Supply Chain Management, Smart Farming, Operational Intelligence, Food Safety and Biometric Security.
Angelo is speaking at
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.
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