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

Authors :
Alberti, Enrico
Alvarez-Napagao, Sergio
Anaya, Victor
Barroso, Marta
Barrué, Cristian
Beecks, Christian
Bergamasco, Letizia
Chala, Sisay Adugna
Gimenez-Abalos, Victor
Graß, Alexander
Hinjos, Daniel
Holtkemper, Maike
Jakubiak, Natalia
Nizamis, Alexandros
Pristeri, Edoardo
Sànchez-Marrè, Miquel
Schlake, Georg
Scholz, Jona
Scivoletto, Gabriele
Walter, Stefan
Source :
Systems; Feb2024, Vol. 12 Issue 2, p48, 32p
Publication Year :
2024

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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
20798954
Volume :
12
Issue :
2
Database :
Complementary Index
Journal :
Systems
Publication Type :
Academic Journal
Accession number :
175646560
Full Text :
https://doi.org/10.3390/systems12020048