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  4. Integrating Digital and Sustainability Transformation Through Artificial Intelligence: A Framework for AI-enabled Twin Transformation
 
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2024
Book Article
Title

Integrating Digital and Sustainability Transformation Through Artificial Intelligence: A Framework for AI-enabled Twin Transformation

Abstract
“Twin Transformation” is characterised by synergistic leveraging of efforts towards digital and sustainability transformation. It relies on digital transformation to develop digital solutions that can improve sustainability and on sustainability transformation to provide the goals and insights that are required to design these digital solutions. This integrated approach uses data streams and the predictive and generative capabilities of systems enabled by Artificial Intelligence (AI). These systems help to overcome the boundaries of human rationality in addressing the complex problem space that exists at the intersection of digital and sustainability transformation. This chapter provides a framework for AI-enabled Twin Transformation and calls for a joint discourse to master what are arguably the two key transformations of this and the following decades.
Author(s)
Crome, Carlotta
FIM Research Center
Graf-Drasch, Valerie
FIM Research Center
Oberländer, Anna Maria
Fraunhofer-Institut für Angewandte Informationstechnik FIT  
Seidel, Stefan
Universität zu Köln
Journal
Palgrave Studies in Digital Business and Enabling Technologies
Open Access
DOI
10.1007/978-3-031-61749-2_3
Additional link
Full text
Language
English
Fraunhofer-Institut für Angewandte Informationstechnik FIT  
Keyword(s)
  • AI-enabled systems

  • Artificial intelligence

  • Digital transformation

  • Sustainability transformation

  • Twin transformation

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