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  4. AI Lifecycle Zero-Touch Orchestration within the Edge-to-Cloud Continuum for Industry 5.0
 
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2024
Journal Article
Title

AI Lifecycle Zero-Touch Orchestration within the Edge-to-Cloud Continuum for Industry 5.0

Abstract
The advancements in human-centered artificial intelligence (HCAI) systems for Industry 5.0 is a new phase of industrialization that places the worker at the center of the production process and uses new technologies to increase prosperity beyond jobs and growth. HCAI presents new objectives that were unreachable by either humans or machines alone, but this also comes with a new set of challenges. Our proposed method accomplishes this through the knowlEdge architecture, which enables human operators to implement AI solutions using a zero-touch framework. It relies on containerized AI model training and execution, supported by a robust data pipeline and rounded off with human feedback and evaluation interfaces. The result is a platform built from a number of components, spanning all major areas of the AI lifecycle. We outline both the architectural concepts and implementation guidelines and explain how they advance HCAI systems and Industry 5.0. In this article, we address the problems we encountered while implementing the ideas within the edge-to-cloud continuum. Further improvements to our approach may enhance the use of AI in Industry 5.0 and strengthen trust in AI systems.
Author(s)
Alberti, Enrico
Alvarez-Napagao, Sergio
Anaya, Victor
Barroso, Marta
Barrué, Cristian
Beecks, Christian
Bergamasco, Letizia
Chala, Sisay Adugna
Fraunhofer-Institut für Angewandte Informationstechnik FIT  
Giménez-Ábalos, Víctor
Graß, Alexander  
Fraunhofer-Institut für Angewandte Informationstechnik FIT  
Hinjos, Daniel
Holtkemper, Maike
Jakubiak, Natalia
Nizamis, Alexandros G.
Pristeri, Edoardo
Sànchez-Marrè, Miquel
Schlake, Georg Stefan
Scholz, Jona
Scivoletto, Gabriele
Walter, Stefan
Journal
Systems  
Project(s)
Towards AI powered manufacturing services, processes, and products in an edge-to-cloud-knowlEdge continuum for humans [in-the-loop]  
Funding(s)
H2020-EU.2.1.1.  
Funder
European Commission  
Open Access
DOI
10.3390/systems12020048
Additional full text version
Landing Page
Language
English
Fraunhofer-Institut für Angewandte Informationstechnik FIT  
Keyword(s)
  • digital twin

  • human-centered AI

  • Industry 4.0

  • manufacturing

  • model orchestration

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