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How generative AI and the intelligent Industrial Internet of Things complement each other

  • Generative modeling is an artificial intelligence (AI) technique to generate synthetic artifacts from analyzing training examples and from learning their patterns and distribution. Generative AI (GenAI) uses generative modeling and advances in Deep Learning to produce diverse content at scale by utilizing existing data. Whereas traditionally GenAI is mostly using media contents, such as text,Generative modeling is an artificial intelligence (AI) technique to generate synthetic artifacts from analyzing training examples and from learning their patterns and distribution. Generative AI (GenAI) uses generative modeling and advances in Deep Learning to produce diverse content at scale by utilizing existing data. Whereas traditionally GenAI is mostly using media contents, such as text, graphics, audio, and video, it can additionally be used also for data from the (Industrial) Internet of Things. This article provides a systematic overview on the manifold different practical opportunities and challenges GenAI brings for the IIoT. It also presents selected examples from the author’s research with his teams. In doing so, it covers the relevance of GenAI for the complete lifecycle of IIoT, from design and development, over testing to deployment. This paper summarizes a keynote presentation from the 13th International Conference on Green and Human Information Technology (ICGHIT) in January 2025 held in Nha Trang, Vietnam.show moreshow less

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Metadaten
Document Type:Article
State of review:Begutachtet (reviewed)
Zitierlink: https://opus.hs-offenburg.de/11562
Bibliografische Angaben
Title (English):How generative AI and the intelligent Industrial Internet of Things complement each other
Author:Axel SikoraStaff MemberORCiDGND
Year of Publication:2025
Date of first Publication:2025/06/30
Creating Corporation:VSB-Technical University of Ostrava
First Page:83
Last Page:90
Parent Title (English):Advances in Electrical and Electronic Engineering
Volume:23
Issue:2
ISSN:1336-1376 (Print)
ISSN:1804-3119 (Online)
DOI:https://doi.org/10.15598/aeee.v23i2.250310
Language:English
Inhaltliche Informationen
Institutes:Fakultät Elektrotechnik, Medizintechnik und Informatik (EMI) (ab 04/2019)
Research:ivESK - Institut für verlässliche Embedded Systems und Kommunikationselektronik
Collections of the Offenburg University:Bibliografie
Tag:Generative Artificial Intelligence; Generative Internet of Things; Industrial Internet of Things; Internet of Things
Formale Angaben
Relevance for "Jahresbericht über Forschungsleistungen":5-fach | Wiss. Zeitschriftenartikel reviewed: AGQ-Positivlisten
Open Access: Open Access 
 Gold 
Licence (German):License LogoCreative Commons - CC BY - Namensnennung 4.0 International