XMANAI partner spotlight – Politecnico di Milano
Name: Giacomo Tavola
Job title: Technology Counselor
Organisation: Politecnico di Milano
Bio: Giacomo Tavola (male) has a Degree in Electronic Engineering at Politecnico di Milano. He worked 25 years in ICT market for major ICT solution providers and hardware manufacturers. He has specific experience on application of ICT technologies to industrial environments with specific focus on Logistics, Process Control and Networking. Among other experiences he was founder and director of the European Innovation Center for Emerging Technologies of Hewlett-Packard Europe. He acted as evaluator and reviewer of European Commission projects.
Currently he works as Research Coordinator in the Department of Management, Economics and Industrial Engineering of Politecnico di Milano in the Manufacturing Group of the School of Management (SOM). He teaches the course of Design and Management of Production Systems at the Master of Science of Mechanical Engineering at Politecnico di Milano and has the role of Techology Counselor at I40LAB@SOM-POLIMI. He has been involved in E-Sonia, IMC-AESOP, ActionPlant, PLANTCOCKPIT, FITMAN, TOUCHPLANT, sCorPiuS, PERFoRM, FAR-EDGE, L4MS, Qu4lity and XMANAI EC funded projects.
Name: Silvia Razzetti
Job title: Researcher Fellow
Organisation: Politecnico di Milano
Bio: Silvia Razzetti (female) is a graduate research fellow in the Manufacturing Group of Politecnico di Milano, currently working in the context of European projects (H2020) related to digital transformation for manufacturing (Artificial Intelligence, Digital Twin, Circular Economy are the main topics dealt). As part of the Politecnico group, she is collaborating in project management and coordination and in research activities related to maturity models and impact assessments. Main projects to be mentioned: BOOST4.0, AI REGIO, CAPRI, DIH4AI, XMANAI, AI.SOV.
Previously, she worked for 3 years in a consulting company, technological branch, strongly enhancing expertise in big data, data monetization, database management and programming.
In 2017, she graduated at Università degli Studi di Milano in Mathematics (bachelor degree focused on optimisation and master degree focused on statistics).
Q: What is your organisation’s role in XMANAI?
A: POLIMI is leading WP1 (Scientific Foundations) especially addressing Human Factors in the interaction with AI-based Autonomous Systems. The Collaborative Intelligence paradigm from Harvard Business Research will be applied, modelled in the industrial pilots, so that to become validated as a reference method for the whole “AI for Manufacturing” domain.
The conceptual work in WP1 will be then materialised by POLIMI in T6.2 where pilots will be assessed through a set of KPIs including not just business metrics bit also social and societal ones; in T7.2 where new business models essentially based on servitisation will be studied and modelled according to the multi-stakeholder Business Model Navigator method; in T7.4 where replicability of the “AI for Manufacturing” pilots will be addressed and in T8.5 where policy and standardisation contributions in the field of Human-AI interaction will be developed
Q: How does XMANAI relate with your or your team’s background and interests?
A: Manufacturing Group of the School of Management (SOM) at Department of Management, Economics and Industrial Engineering of Politecnico di Milano is engaged in the last years in developing multiple research areas related with XMANAI project. First of all the study of human role in manufacturing processes aiming to optimize and make it safer and healthier. Another area encompass different aspects related with maturity of Advanced and Sustainable Manufacturing environments and identification, deployment and assessment of related indicators. The team is also involved in multiple national and international entities and initiatives where it plays role for counseling and standardization.
Q: What is the novelty of XMANAI and the main benefits envisaged for your organisation?
A: While Artificial Intelligence is a concept and a technology that is broadly recognized, event in Manufacturing domain, real acceptance by operator and decision makers is an area requiring further research and here XMANAI can provide real benefits both as platform, assets and methodologies.
Q: Which target groups can benefit from XMANAI?
A: Specifically for Politecnico di Milano team, in the educational perspective we plan to include outcomes from XMANAI in our training and research activities, contributing to spread in new engineers better awareness and knowledge about AI benefits for industry. More, being part of multiple Technology Transfer initiative, mainly for SMEs, we can expect real value to be delivered to the industrial players.
Q: As an R&D partner, how do you envision the XMANAI progress beyond the state of the art?
A: Explicability of AI decision is one of the crucial aspects to focus research to enable real acceptance and exploitation of AI in Manufacturing Domain. Full integration between humans (operators, designers, business managers) and AI control processes is another important area addressed by the project.
Q: As a key member of the European Factories of the Future Research Association (EFFRA) and other relevant innovation ecosystems, how do you see XMANAI contributing for European policies and strategic documents?
A: Being AI one of key technologies able to provide competitive advantages to European Industry, Politecnico di Milano is committed to bring outcomes to major decision and standardization bodies it is participating in order to better address and focus research in AI integration into operational processes. Politecnico di Milano is as well key player in Competence Centers and Innovation Hubs ecosystem where it is going to promote XMANAI results.