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  4. Framework for Data and AI Life Cycle. Research Project REMORA
 
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2022
Presentation
Title

Framework for Data and AI Life Cycle. Research Project REMORA

Title Supplement
Flexible and Continous Operation of Artificial Intelligence in Industrie 4.0. Presentation held at IT-Tage 2022, 12.-15.12.2022
Abstract
In the Industrie 4.0, an increasing amount of data is generated through intelligent interconnection of machines and processes. This data can be leveraged to generate knowledge - through Artificial Intelligence (AI) - to improve production and services. However, it is not sufficient to simply integrate AI. A continuous data and AI life cycle needs to be secured. The single life cycle stages (from data acquisition to AI development to data analysis) need to be executed flexibly and (semi-) automatically. The Fraunhofer IKS is developing a framework to enable and facilitate the flexible and continuous operation of AI in the Industrie 4.0. The aim is to support and automate AI development, integration, and operation, while reducing the effort for the user.
Author(s)
Van, Hoai My  
Fraunhofer-Institut für Kognitive Systeme IKS  
Dreiser, Marc  
Fraunhofer-Institut für Kognitive Systeme IKS  
Sawczuk da Silva, Alexandre
Fraunhofer-Institut für Kognitive Systeme IKS  
Weiß, Gereon  
Fraunhofer-Institut für Kognitive Systeme IKS  
Project(s)
Multi-Stage Automated Continuous Delivery for AI-based Software & Services Development in Industry 4.0  
Funder
Bayerisches Staatsministerium für Wirtschaft, Landesentwicklung und Energie
Conference
IT-Tage 2022  
DOI
10.24406/publica-672
File(s)
Download (1.37 MB)
Rights
Under Copyright
Language
English
Fraunhofer-Institut für Kognitive Systeme IKS  
Fraunhofer Group
Fraunhofer-Verbund IUK-Technologie  
Keyword(s)
  • industry 4.0

  • artificial intelligence

  • AI

  • AI life cycle

  • predictive maintenance

  • framework

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