It was a really fun and formative experience where we had the possibility to interact with many colleagues across Europe. We can clearly declare the workshop successful as we had to cap the contribution to only 11 despite the very large contribution that we received (total 22, acceptance rage 50%). If that is not enough for declaring it a success, it also was the largest (most participated) event of the conference.

A big thanks also goes to our sponsors and keynote speaker that stimulated the conversation as well as provided a valuable industrial experience.

Here you can find a set of useful links in case you would like to profit of the outcomes:

• Call for paper for the first workshop on AI Beyond Efficiency
• Modafferi, S., Nuñez, M. J., Lelli, F., & Dalle Carbonare, D. (2022). Artificial Intelligence beyond Efficiency. CEUR Workshop Proceedings, 3214

Full report can be downloaded here: PDF Version of the report on the workshop

The paper that where discussed are available at the following links:

• Introducing Building Blocks for Industry 4.0, an Analytics Application for the Federated EFPF Platform
  Jose Maria Gonzalez Castro Robert Sanfeliu Prat, Francesc Bonada, Fernando Gigante Valencia
• AI Ethics for Industry 5.0 – From Principles to Practice
  Alexandru Constantin Ciobanu, Gabriela Meșniță
• A Practical Experience of AI Solution Used to Improve Varnishing Process Efficiency in Furniture Manufacturing
  Juan Del Agua, Gabriel Modia
• Industry5.0 and Sociotechnical Theory: Theoretical Underpinnings
  Nicholas Fair
• Relevance of Visualization and Interaction Technologies for Industry 5.0
  Ander Garcia, Marco Quartulli, Igor G. Olaizola, Iñigo Barandiaran
• Teaming.AI: Enabling Human-AI Teaming Intelligence in Manufacturing
  Thomas Hoch, Bernhard Heinzl, Gerald Czech, Maqbool Khan, Philipp Waibel, Stefan Bachhofner, Elmar Kiesling, Bernhard Moser
• On Exploring the Possibilities and the Limits of AI for an Interoperable and Empowering Industry 4.0
  Francesco Lelli
• Artificial Intelligence from Industry 5.0 perspective: Is the Technology Ready to Meet the Challenge?
  Igor García Olaizola Marco Quartulli, Ander Garcia, Iñigo Barandiaran
• Towards Zero-Defect Manufacturing: Machine Selection through Unsupervised Learning in the Printing Industry
  Sotirios T. Spantideas, Anastasios E. Giannopoulos, Nikolaos C. Kapsalis, Angelos Angelopoulos, Stamatis Voliotis, Panagiotis Trakadas
• Towards Industry 5.0 – A Trustworthy AI Framework for Digital Manufacturing with Humans in Control
  Usman Wajid, Alexandros Nizamis, Victor Anaya
• On Developing Human Centric Digital Twins in Industry 4.0 and Beyond
  Akpofure A. Enughwure, Francesco Lelli

As organizer I hope that the connections that the participants build will remain strong, will grow, and will materialize in a tangible advance of the field.

First Workshop on AI Beyond Efficiency: proceedings of the event. #ArtificialIntelligence #workshops #interoperability #Industry40 #BigData #MachineLearning
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Objectives of the Workshop:

Industry 4.0 is the integration of IoT, artificial intelligence (AI), cyber-physical systems, and Cloud that brought us smart factories, putting technology at the forefront of manufacturing. It heavily focusses on maximizing given set of mainly technology and economic KPIs: in other words, the systems efficiency. Industry 5.0 provides a vison of industry that aims beyond efficiency and productivity as the sole goals and reinforces the
role and the contribution of industry to society.
The workshop will discuss what are the drivers, the barriers and the implications of leveraging the technological solutions developed in Industry 4.0 (I4.0) to address relevant societal impacts, so aligning with the EC agenda.

With the final goal of further interconnecting Civil Society, Government & Policy Makers, Academia and Industry, the workshop will discuss how to shape the Industry 5.0 (I5.0) paradigm to enable a human-centric, resilient society, the green transition, and the related awareness, what is the role of interoperability, and how the SMEs can contribute to this process.
It will discuss methodological approaches and models to describe from both an ICT and Social Science perspective the ever-increasing complexity of socio-technical systems that are core of I4.0 and I5.0 and foresee an extensive use of AI-based solutions. This will include, but not limit to, how to identify, measure, monitor and feedback key features and attributes to keep all the stakeholders informed and satisfied.
The workshop will also touch upon the key concepts of Data Spaces and Testing and Experimentation Facilities as a way to answer current challenges in I4.0 and support the transition to I5.0 exploring interoperability challenges reaching solutions to industry.

Topics of interest:

• Interoperability in the transition to the human centric approach.
• Interoperable socio-technical systems.
• SME supporting interoperability in I5.0.
• AI as a support to Civil Society, Government & Policy Makers.
• Digital Education and impact of ICT and data sharing on the green agenda.
• Multi-Stakeholders monitoring models and tools.
• The role of AI in governing the transitioning I4.0 to I5.0.
• The workforce in I5.0.
• Methodologies, prototypes, and tools addressing the human-centric approach in socio-technical systems.
• SME vs large industry approach to provide tools in interoperable socio-technical systems.
• Addressing privacy and trust in interoperable human-centered systems.
• Best practices and guidelines to foster the collaboration among Social and ICT Scientists.
• Practical experiences of AI solution used beyond efficiency improvement.
• Experiences, insights, and vision on setting up and use of Data Spaces to support I5.0.
• Experiences on setting up and use of Testing and Experimentation Facilities to support I5.0

AI Beyond Efficiency: Paper Submission

Papers must be in English, describes original work and must follow the CEUR guidelines for authors. Paper length should be 6 pages for a full paper and 4 pages for a short paper.
Authors should submit their contributions by email to the Workshop Chairs: sdm2d11@soton.ac.uk, mjnunez@aidimme.es, F.Lelli@tilburguniversity.edu, davide.dallecarbonare@eng.it

Important Dates:

• January 31st, February the 7th, 2022 First draft paper submission
• February 15th, 2022 Notification of acceptance
• March 23rd, 24th, 2022 I-ESA 2022 Workshops
• April 18th, 2022 Camera-ready
• June 20th, 2022 Publication of Proceedings

Further Information about the co-location with I-ESA, venues and proceeding

Since several years, I-ESA is the major event regarding Enterprise Interoperability and the official conference of Virtual Laboratory for Enterprise Interoperability (INTEROP-VLab) with the sponsorship of the International Federation for Information Processing (IFIP).
Accepted and presented papers will be published by CEUR Workshops Proceedings

Please, consider that at least one author per paper must register to the Workshops. If none of the authors is registered, the paper will not be included in the workshop program and in the proceedings

Workshop Chairs:

• Stefano Modafferi (University of Southampton, UK),
• Maria José Nunez (AIDIMME, SP),
• Francesco Lelli (University of Tilburg, NL),
• Davide Dalle Carbonare (Engineering, IT)

Program Committee (alphabetical order):

• Emiel Caron (University of Tilburg, NL);
• Luca Caviglione (CNR-IMATI, IT);
• Francesco D’Andria (Atos ARI, SP);
• Angelo Di Iorio (Universita’ di Bologna, IT);
• Akpofure Enughwure (Nigeria Maritime University, NG);
• Nicholas Fair (University of Southampton, UK);
• Alessia Focareta (FIDIA SPA, IT);
• Simone Fratini (Solenix Enineering GmbH, DE);
• Javed Khan (Sappi Europe, BE);
• Florian Kunneman (Vrije Universiteit Amsterdam, NL);
• Manuel Mazzara (Innopolis University, RU);
• Rashid Mehmood (King Abdulaziz University, SA)
• Raffaele Montella (Universita’ di Napoli Partenope, IT);
• Alexandros Nizamis (CERTH/ITI, GR);
• Antonio Nocera (Universita’ di Pavia);
• Joao Sarraipa (Universidade NOVA de Lisboa, PT);  
• Usman Wajid (Information Catalyst, UK).

Help us spread the voice:

First #workshop on #AI Beyond Efficiency: Interoperability towards Industry 5.0.#Industry40 #BigData #MachineLearning #artificialintelligence #iot #DataScience #coding #pythoncode #Software #service
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Abstract: Industry 4.0 demands a dynamic optimization of production lines. They are formed by sets of heterogeneous devices that cooperate towards a shared goal. The Internet of Things can serve as a technology enabler for implementing such a vision. Nevertheless, the domain is struggling in finding a shared understanding of the concepts for describing a device. This aspect plays a fundamental role in enabling an “intelligent interoperability” among sensor and actuators that will constitute a dynamic Industry 4.0 production line. In this paper, we summarize the efforts of academics and practitioners toward describing devices in order to enable dynamic reconfiguration by machines or humans. We also propose a set of concepts for describing devices, and we analyze how present initiatives are covering these aspects

Recommendations for advancing the state-of-the-art of the (intelligent) interoperability of IoT towards solving use cases from Industry 4.0 include:

• IoT can serve as enabler technology for Industry 4.0 especially if proper “intelligent interoperability” is achieved.
• Consider a deeper collaboration among practitioners and academics for developing a shared set of concepts.
• Consider structured knowledge around devices that does not only focus on sensors and includes actuators, as well.
• Schema.org may be a promising technology that could overcome the intrinsic complexity of the semantic web; however, in the case of IoT, it is still in its initial phases.

Full article available at the following link:

DOI: https://doi.org/10.3390/fi11020036

Your help in sharing the idea is very welcome!

#Interoperability of the Time of #Industry40 and the #InternetOfThings . Consider 'intelligent interoperability' as the next step forward
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Cite this paper as:

Lelli F. Interoperability of the Time of Industry 4.0 and the Internet of Things. Future Internet. 2019; 11(2):36.

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